add temp range and heat range
This commit is contained in:
176
app.py
176
app.py
@@ -3,6 +3,7 @@
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"""
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import os
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import numpy as np
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import time
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import datetime
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try:
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from nicegui import app, ui, events, Client
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@@ -30,11 +31,15 @@ pio.templates["plotly_light"].layout['yaxis']['zerolinecolor'] = 'lightgray'
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ELM = {
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'name': 'tempplot',
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'filename': './data/20260420213656.txt',
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'label_file_fmt': 'file: {filename}',
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#'label_data_len_fmt': 'data points (rendered): {num}',
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'label_data_len_fmt': 'data points: {num} (rendered), {numa} (total)',
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'label_file_fmt': 'File: {filename}',
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'label_data_len_fmt': 'Data points: {num:,} (rendered) / {numa:,} (total)',
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'label_data_temp_fmt': 'Temperature = [{min:.1f}, {max:.1f}] K',
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'label_data_heat_fmt': 'Heater = [{min:.1f}, {max:.1f}] %',
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'plotly_light': 'plotly_light',
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'plotly_dark': 'plotly_dark',
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'update_last': time.time(),
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'update_timeout': 1,
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'label_update_last_fmt': 'Last refresh: {last}',
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}
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def main_cli():
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@@ -84,10 +89,11 @@ async def pick_file() -> None:
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if result:
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filename = result[-1]
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ELM['filename'] = filename
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# update_data() # see timer below
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# see timer below, but still here active b/c the time might be inactive
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ui.timer(0, lambda: update_data(), once=True)
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ELM['label_file'].set_text(ELM['label_file_fmt'].format(filename=os.path.basename(filename)))
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async def get_data(filename=ELM['filename']):
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def get_data(filename=ELM['filename']):
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data = np.genfromtxt(fname=filename, skip_header=1)
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if len(data) > 0 and len(data[0]) > 6:
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@@ -102,42 +108,82 @@ async def get_data(filename=ELM['filename']):
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)
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return data
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async def update_data():
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filename=ELM['filename']
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data_all = await get_data(filename)
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data = data_all
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# time_range = ELM['number_time_range'].value
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time_range = app.storage.user['time_range']
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if time_range is not None and time_range > 0:
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# delta = datetime.datetime.now() - data['time']
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delta = data['time'][-1] - data['time']
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data = data[np.where(delta <= datetime.timedelta(hours=time_range))]
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print(filename, data_all.shape, data.shape)
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ELM['label_data_len'].set_text(ELM['label_data_len_fmt'].format(num=len(data), numa=len(data_all)))
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ELM['fig'].data = []
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ELM['plot'].visible = False
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ELM['plot'].update()
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def update_data():
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if not app.storage.user['timer'] or time.time() - ELM['update_last'] > ELM['update_timeout']:
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ELM['update_busy'] = True
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filename=ELM['filename']
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data_all = get_data(filename)
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data = data_all
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ELM['fig'].add_trace(pgo.Scatter(**np2pgo(data['time'], data['ts'], 'Setp')))
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ELM['fig'].add_trace(pgo.Scatter(**np2pgo(data['time'], data['ta'], 'Temp A')))
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ELM['fig'].add_trace(pgo.Scatter(**np2pgo(data['time'], data['tb'], 'Temp B')))
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if len(data) > 0 and len(data[0]) > 6:
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ELM['fig'].add_trace(pgo.Scatter(**np2pgo(data['time'], data['tc'], 'Temp C')))
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ELM['fig'].add_trace(pgo.Scatter(**np2pgo(data['time'], data['td'], 'Temp D')))
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# time_range = ELM['number_time_range'].value
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time_range = app.storage.user['time_range']
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if time_range is not None and time_range > 0:
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# delta = datetime.datetime.now() - data['time']
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delta = data['time'][-1] - data['time']
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data = data[np.where(delta <= datetime.timedelta(hours=time_range))]
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print(datetime.datetime.now(), filename, data_all.shape, data.shape)
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ELM['label_data_len'].set_text(ELM['label_data_len_fmt'].format(
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num=len(data), numa=len(data_all)))
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if len(data) > 0:
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if len(data[0]) > 6:
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ELM['label_data_temp'].set_text(ELM['label_data_temp_fmt'].format(
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min=np.min([data['ts'], data['ta'], data['tb'], data['tc'], data['td']]),
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max=np.max([data['ts'], data['ta'], data['tb'], data['tc'], data['td']])))
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else:
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ELM['label_data_temp'].set_text(ELM['label_data_temp_fmt'].format(
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min=np.min([data['ts'], data['ta'], data['tb']]),
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max=np.max([data['ts'], data['ta'], data['tb']])))
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ELM['label_data_heat'].set_text(ELM['label_data_heat_fmt'].format(
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min=np.min(data['hp']), max=np.max(data['hp'])))
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ELM['fig'].add_trace(pgo.Scatter(**np2pgo(data['time'], data['hp'], 'Heat')),
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row=2, col=1)
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ELM['fig'].data = []
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ELM['plot'].visible = False
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ELM['plot'].update()
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ELM['plot'].visible = True
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ELM['plot'].update()
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# mode='lines+markers' too heavy
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ELM['fig'].add_trace(pgo.Scatter(
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**np2pgo(data['time'], data['ts'], 'Setp'), mode='lines', legendgroup=None))
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ELM['fig'].add_trace(pgo.Scatter(
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**np2pgo(data['time'], data['ta'], 'Temp A'), mode='lines', legendgroup=None))
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ELM['fig'].add_trace(pgo.Scatter(
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**np2pgo(data['time'], data['tb'], 'Temp B'), mode='lines', legendgroup=None))
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if len(data) > 0 and len(data[0]) > 6:
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ELM['fig'].add_trace(pgo.Scatter(
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**np2pgo(data['time'], data['tc'], 'Temp C'), mode='lines', legendgroup=None))
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ELM['fig'].add_trace(pgo.Scatter(
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**np2pgo(data['time'], data['td'], 'Temp D'), mode='lines', legendgroup=None))
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ELM['fig'].add_trace(pgo.Scatter(
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**np2pgo(data['time'], data['hp'], 'Heat'), mode='lines',
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legendgroup=None), row=2, col=1)
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ELM['plot'].visible = True
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ELM['plot'].update()
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ELM['update_last'] = time.time()
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ELM['label_update_last'].set_text(
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ELM['label_update_last_fmt'].format(
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last=datetime.datetime.fromtimestamp(
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ELM['update_last']).strftime("%Y-%m-%dT%H:%M:%S.%f")))
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def update_fig():
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ELM['fig'].update_yaxes(
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row=1, col=1, range=[ELM['number_temp_min'].value, ELM['number_temp_max'].value],
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rangemode="nonnegative")
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ELM['fig'].update_yaxes(
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row=2, col=1, range=[ELM['number_heat_min'].value, ELM['number_heat_max'].value],
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rangemode="nonnegative")
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@ui.page('/')
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async def index():
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await ui.context.client.connected()
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def index():
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# initialize objects
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ELM['fig'] = ply.subplots.make_subplots(rows=2, cols=1)
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pio.templates.default = 'plotly_dark'
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# ELM['fig'] = pgo.Figure()
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ELM['fig'] = ply.subplots.make_subplots(
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rows=2, cols=1, specs = [[{'t': 0.0}], [{}]], shared_xaxes=True,
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vertical_spacing=0.02)
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# render header
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ui.context.client.content.classes('h-[100vh]')
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@@ -152,12 +198,18 @@ async def index():
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ui.button('Choose file', on_click=pick_file, icon='folder')
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ELM['number_time_range'] = ui.number(
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label='time range', value=6, format='%.2f', min=0, step=0.5,
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label='Time range', value=6, format='%.2f', min=0, step=0.5,
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suffix='h',
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# on_change=lambda e: update_data(), # see timer below
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).props('clearable').bind_value(app.storage.user, 'time_range').classes('w-32')
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# see timer below, but still here active b/c the time might be inactive
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).on('update:model-value', lambda e: update_data(), throttle=1.0) \
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.props('clearable').bind_value(app.storage.user, 'time_range').classes('w-32')
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ELM['switch_timer'] = ui.switch('auto-refresh').bind_value(app.storage.user, 'timer')
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ELM['switch_timer'] = ui.switch('Auto-refresh').bind_value(app.storage.user, 'timer')
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ELM['label_update_last'] = ui.label(
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ELM['label_update_last_fmt'].format(
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last=datetime.datetime.fromtimestamp(
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ELM['update_last']).strftime("%Y-%m-%dT%H:%M:%S.%f")))
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ui.space()
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@@ -172,19 +224,55 @@ async def index():
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ELM['label_file'] = ui.label(
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ELM['label_file_fmt'].format(filename=os.path.basename(ELM['filename'])))
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ELM['label_data_len'] = ui.label(ELM['label_data_len_fmt'].format(num=0, numa=0))
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ELM['label_data_temp'] = ui.label(ELM['label_data_temp_fmt'].format(min=0, max=0))
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ELM['label_data_heat'] = ui.label(ELM['label_data_heat_fmt'].format(min=0, max=0))
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with ui.row(align_items="baseline").classes('w-full'):
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ui.label('Temperature')
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ELM['number_temp_min'] = \
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ui.number(
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label='min', value=None, format='%.2f', min=0, step=1.0, suffix='K') \
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.props('clearable').classes('w-32').on(
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'update:model-value', lambda e: update_fig(), throttle=1.0)
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ELM['number_temp_max'] = \
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ui.number(
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label='max', value=None, format='%.2f', min=0, step=1.0, suffix='K') \
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.props('clearable').classes('w-32').on(
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'update:model-value', lambda e: update_fig(), throttle=1.0)
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ui.label().classes('w-22')
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ui.label('Heater')
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ELM['number_heat_min'] = \
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ui.number(
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label='min', value=None, format='%.2f', min=0, step=1.0, suffix='%') \
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.props('clearable').classes('w-32').on(
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'update:model-value', lambda e: update_fig(), throttle=1.0)
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ELM['number_heat_max'] = \
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ui.number(
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label='max', value=None, format='%.2f', min=0, step=1.0, suffix='%') \
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.props('clearable').classes('w-32').on(
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'update:model-value', lambda e: update_fig(), throttle=1.0)
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pio.templates.default = 'plotly_dark'
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# ELM['fig'] = pgo.Figure()
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ELM['fig'].update_layout(
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height=600,
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#template='plotly_white'
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height=640,
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margin={'t': 25},
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#legend_tracegroupgap=140,
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template=ELM['plotly_dark'] if dark_mode.value else ELM['plotly_light'],
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yaxis1_title='Temperature, K',
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yaxis2_title='Power, %',
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yaxis2_range=[0, 100],
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xaxis2_title='Time',
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)
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ELM['fig'].update_yaxes(
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row=1, col=1, range=[ELM['number_temp_min'].value, ELM['number_temp_max'].value],
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rangemode="nonnegative")
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ELM['fig'].update_yaxes(
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row=2, col=1, range=[ELM['number_heat_min'].value, ELM['number_heat_max'].value],
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rangemode="nonnegative")
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ELM['plot'] = ui.plotly(ELM['fig']).classes('w-full')
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# update_data()
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ui.timer(0, lambda: update_data(), once=True)
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ELM['timer'] = ui.timer(2.0, lambda: update_data(), immediate=False)
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ELM['timer'] = ui.timer(0.5, lambda: update_data(), immediate=False)
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ELM['switch_timer'].bind_value_to(ELM['timer'], 'active')
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def main_gui(args):
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