add file exist logic
This commit is contained in:
Daniel Weschke
122
app.py
122
app.py
@@ -30,7 +30,9 @@ 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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'filedir': './data',
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# 'filename': './data/20260420213656.txt',
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'filename': None,
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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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@@ -94,79 +96,83 @@ async def pick_file() -> None:
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ELM['label_file'].set_text(ELM['label_file_fmt'].format(filename=os.path.basename(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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data = None
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if filename is not None and os.path.isfile(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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names = ['time', 'ts', 'ta', 'tb', 'tc', 'td', 'hp', 'hl']
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else:
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names = ['time', 'ts', 'ta', 'tb', 'hp', 'hl']
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if len(data) > 0 and len(data[0]) > 6:
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names = ['time', 'ts', 'ta', 'tb', 'tc', 'td', 'hp', 'hl']
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else:
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names = ['time', 'ts', 'ta', 'tb', 'hp', 'hl']
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data = np.genfromtxt(
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fname=filename, dtype=None, skip_header=1, converters={
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0: lambda x: datetime.datetime.strptime(x, '%Y%m%d%H%M%S')},
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names=names, encoding='utf-8'
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)
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data = np.genfromtxt(
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fname=filename, dtype=None, skip_header=1, converters={
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0: lambda x: datetime.datetime.strptime(x, '%Y%m%d%H%M%S')},
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names=names, encoding='utf-8'
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)
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return data
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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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if not app.storage.user['timer'] \
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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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# 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 data is not None:
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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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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'].data = []
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ELM['plot'].visible = False
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ELM['plot'].update()
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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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# 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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# mode='lines+markers' too heavy
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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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**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['td'], 'Temp D'), mode='lines', legendgroup=None))
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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['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['plot'].visible = True
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ELM['plot'].update()
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ELM['update_last'] = time.time()
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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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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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@@ -221,8 +227,10 @@ def index():
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).bind_value(app.storage.user, 'dark_mode').props('icon="dark_mode"')
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with ui.row():
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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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filename = None
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if ELM['filename'] is not None:
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filename = os.path.basename(ELM['filename'])
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ELM['label_file'] = ui.label(ELM['label_file_fmt'].format(filename=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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