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Copy pathComplete_visual_dataloading.py
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244 lines (185 loc) · 8.92 KB
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import datetime
import os
import time
import pandas as pd
import plotly.graph_objects as go
import dash
from dateutil.relativedelta import relativedelta
from dash import dcc
from dash import html
import dash_bootstrap_components as dbc
from dash.dependencies import Input, Output
from dash_bootstrap_templates import load_figure_template
import pyarrow.parquet as pq
from pathlib import Path
def load_parquet_data(property_path, start_dt=None, stop_dt=None):
start_timestamp = datetime.datetime.timestamp(start_dt) if start_dt else None
stop_timestamp = datetime.datetime.timestamp(stop_dt) if stop_dt else None
required_months = []
tmp_dt = start_dt.replace(day=1) if start_dt else datetime.datetime.now()
while tmp_dt < stop_dt if stop_dt else datetime.datetime.now():
file_path = tmp_dt.strftime("%Y-%m")
required_months.append(file_path)
tmp_dt += relativedelta(months=1)
if not isinstance(property_path, list):
property_path = [property_path]
parquet_data = {}
for p in property_path:
parquet_files = [Path(p).joinpath(f"{i}.parquet") for i in required_months]
available_files = [i for i in parquet_files if i.is_file()]
pq_dataset = pq.ParquetDataset(available_files, filters=[('timestamp', '>=', start_timestamp),
('timestamp', '<=', stop_timestamp)])
pq_table = pq_dataset.read()
df = pq_table.to_pandas()
parquet_data[str(p)] = df
return parquet_data, start_dt, stop_dt
def get_dropdown_options(main_folders, sub_folders, subsub_folder):
if None in (main_folders, sub_folders, subsub_folder):
return []
main_folders = str(main_folders)
sub_folders = str(sub_folders)
subsub_folder = str(subsub_folder)
subsubsubfolder_path = os.path.join(main_folders, sub_folders, subsub_folder)
subsubsubfolders = [f for f in os.listdir(subsubsubfolder_path) if
os.path.isdir(os.path.join(subsubsubfolder_path, f))]
return [{'label': folder, 'value': folder} for folder in subsubsubfolders]
def convert_timestamp(df):
df['timestamp'] = pd.to_datetime(df['timestamp'], unit='s')
return df
def downsample_data(df, timestamp_col='timestamp', value_col='data'):
df_resampled = df.groupby(pd.Grouper(key=timestamp_col, freq='6h'))[value_col].mean().reset_index()
return df_resampled
def update_line_plot(selected_subfolder, main_folders, sub_folders, subsub_folder, start_dt, stop_dt):
if selected_subfolder is None:
return go.Figure()
start = time.perf_counter()
now = datetime.datetime.now().strftime("%H:%M:%S")
print("Read Parquet started : ", now)
subfolder_path = os.path.join(main_folders, sub_folders, subsub_folder, selected_subfolder)
parquet_data = load_parquet_data(subfolder_path, start_dt, stop_dt)
df = parquet_data[selected_subfolder] # Use selected_subfolder directly as the key
now = datetime.datetime.now().strftime("%H:%M:%S")
print("Read Parquet completed at : ", now)
df = convert_timestamp(df)
df = downsample_data(df)
fig = go.Figure()
fig.add_trace(go.Scatter(x=df['timestamp'], y=df['data'], mode='lines'))
end = time.perf_counter()
print(f'Update Line Plot Function Completed in {round(end - start, 2)} seconds')
return fig
def create_layout(main_folders, sub_folders, subsub_folders_1, sub_folders2, subsub_folders_2, subsub_folders_3,
subsub_folders_4):
return html.Div([
html.H1("Dashboard"),
html.Div([
html.H2("XTIN.MLO1 and SLO1 Dashboards"),
dbc.Row([
dbc.Col([
dcc.Dropdown(
id='subfolder-dropdown',
options=get_dropdown_options(main_folders, sub_folders, subsub_folders_1),
value='CTRL0.OUT.MEAN.RD',
placeholder="Select Subfolder"
),
], width=6),
dbc.Col([
dcc.Dropdown(
id='subfolder-dropdown-2',
options=get_dropdown_options(main_folders, sub_folders, subsub_folders_2),
value='CTRL0.OUT.MEAN.RD',
placeholder="Select Subfolder"
),
], width=6),
]),
dbc.Row([
dbc.Col(dcc.Loading(dcc.Graph(id='line-plot-1', config={'displayModeBar': False})), width=6),
dbc.Col(dcc.Loading(dcc.Graph(id='line-plot-2', config={'displayModeBar': False})), width=6),
]),
]),
html.Div([
html.H2("LSU"),
dbc.Row([
dbc.Col([
dcc.Dropdown(
id='subfolder-dropdown-3',
options=get_dropdown_options(main_folders, sub_folders2, subsub_folders_3),
value='FMC1.MD22.0.POSITION.RD',
placeholder="Select Subfolder"
),
], width=6),
dbc.Col([
dcc.Dropdown(
id='subfolder-dropdown-4',
options=get_dropdown_options(main_folders, sub_folders2, subsub_folders_4),
value='LSU.2.CTRL_IN.MEAN.RD',
placeholder="Select Subfolder"
),
], width=6),
]),
dbc.Row([
dbc.Col(dcc.Loading(dcc.Graph(id='line-plot-3', config={'displayModeBar': False})), width=6),
dbc.Col(dcc.Loading(dcc.Graph(id='line-plot-4', config={'displayModeBar': False})), width=6),
]),
]),
], style={'width': '80%', 'margin': 'auto', 'display': 'block'})
main_folder = 'XFEL.SYNC'
sub_folder = 'LASER.LOCK.XLO'
sub_folder2 = 'LINK.LOCK'
subsub_folder_1 = 'XTIN.MLO1'
subsub_folder_2 = 'XHEXP1.SLO1'
subsub_folder_3 = 'XTIN.AMC8.ACTUATOR'
subsub_folder_4 = 'XTIN.AMC8.CONTROLLER'
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.LUX])
load_figure_template('LUX')
app.layout = create_layout(main_folder, sub_folder, subsub_folder_1, sub_folder2, subsub_folder_2, subsub_folder_3,
subsub_folder_4)
@app.callback(Output('line-plot-1', 'figure'),
[Input('subfolder-dropdown', 'value')])
def update_graph_1(selected_subfolder):
start = time.perf_counter()
start_dt = datetime.datetime.now()
parquet_data, start_dt, stop_dt = load_parquet_data(main_folder, start_dt=start_dt)
if stop_dt is None:
stop_dt = datetime.datetime.now()
fig = update_line_plot(selected_subfolder, main_folder, sub_folder, subsub_folder_1, start_dt, stop_dt)
end = time.perf_counter()
print(f'Update Graph1 Plot Function Completed in {round(end - start, 2)} seconds')
return fig
@app.callback(Output('line-plot-2', 'figure'),
[Input('subfolder-dropdown-2', 'value')])
def update_graph_2(selected_subfolder):
start = time.perf_counter()
start_dt = datetime.datetime.now()
parquet_data, start_dt, stop_dt = load_parquet_data(main_folder, start_dt=start_dt)
if stop_dt is None:
stop_dt = datetime.datetime.now()
fig = update_line_plot(selected_subfolder, main_folder, sub_folder, subsub_folder_2, start_dt, stop_dt)
end = time.perf_counter()
print(f'Update Graph2 Plot Function Completed in {round(end - start, 2)} seconds')
return fig
@app.callback(Output('line-plot-3', 'figure'),
[Input('subfolder-dropdown-3', 'value')])
def update_graph_3(selected_subfolder):
start = time.perf_counter()
start_dt = datetime.datetime.now()
parquet_data, start_dt, stop_dt = load_parquet_data(main_folder, start_dt=start_dt)
if stop_dt is None:
stop_dt = datetime.datetime.now()
fig = update_line_plot(selected_subfolder, main_folder, sub_folder2, subsub_folder_3, start_dt, stop_dt)
end = time.perf_counter()
print(f'Update Graph3 Plot Function Completed in {round(end - start, 2)} seconds')
return fig
@app.callback(Output('line-plot-4', 'figure'),
[Input('subfolder-dropdown-4', 'value')])
def update_graph_4(selected_subfolder):
start = time.perf_counter()
start_dt = datetime.datetime.now()
parquet_data, start_dt, stop_dt = load_parquet_data(main_folder, start_dt=start_dt)
if stop_dt is None:
stop_dt = datetime.datetime.now()
fig = update_line_plot(selected_subfolder, main_folder, sub_folder2, subsub_folder_4, start_dt, stop_dt)
end = time.perf_counter()
print(f'Update Graph4 Plot Function Completed in {round(end - start, 2)} seconds')
return fig
if __name__ == '__main__':
app.run_server(debug=True)