From 196cb7d507db7bd6f077c44131dfedb1868a5231 Mon Sep 17 00:00:00 2001
From: Daniel Weschke <daniel.weschke@desy.de>
Date: Tue, 28 Apr 2026 11:29:30 +0200
Subject: [PATCH] add resampler

---
 app.py | 23 ++++++++++++++---------
 1 file changed, 14 insertions(+), 9 deletions(-)

diff --git a/app.py b/app.py
index d4a07f0..1ac27ce 100644
--- a/app.py
+++ b/app.py
@@ -6,7 +6,7 @@ import numpy as np
 import time
 import datetime
 try:
-  from nicegui import app, ui, events, Client
+  from nicegui import app, ui, events, Client, run
 except ModuleNotFoundError as e:
   print('Module `nicegui` not found.')
   exit(1)
@@ -16,6 +16,7 @@ try:
   import plotly as ply
   import plotly.subplots
   import local_file_picker
+  import plotly_resampler as prs
 except ModuleNotFoundError as e:
   print('Module `plotly` not found.')
   exit(1)
@@ -39,7 +40,7 @@ ELM = {
   'plotly_light': 'plotly_light',
   'plotly_dark': 'plotly_dark',
   'update_last': time.time(),
-  'update_timeout': 1,
+  'update_timeout': 1.0,
   'label_update_last_fmt': 'Last refresh: {last}',
 }
 
@@ -103,7 +104,7 @@ async def pick_file() -> None:
 def get_data(filename=ELM['filename']):
   data = None
   if filename is not None and os.path.isfile(filename):
-    data = np.genfromtxt(fname=filename, skip_header=1)
+    data = np.genfromtxt(fname=filename, skip_header=1, max_rows=2)
 
     if len(data) > 0 and len(data[0]) > 6:
       names = ['time', 'ts', 'ta', 'tb', 'tc', 'td', 'hp', 'hl']
@@ -117,12 +118,15 @@ def get_data(filename=ELM['filename']):
     )
   return data
 
-def update_data():
+async def update_data():
+  out = ''
   if not app.storage.user['timer'] \
      or time.time() - ELM['update_last'] > ELM['update_timeout']:
     ELM['update_busy'] = True
     filename=ELM['filename']
-    data_all = get_data(filename)
+    t1 = time.time()
+    data_all = await run.cpu_bound(get_data, filename)
+    t2 = time.time()
     data = data_all
 
     if data is not None:
@@ -132,7 +136,7 @@ def update_data():
         # delta = datetime.datetime.now() - data['time']
         delta = data['time'][-1] - data['time']
         data = data[np.where(delta <= datetime.timedelta(hours=time_range))]
-      print(datetime.datetime.now(), filename, data_all.shape, data.shape)
+      out += f"{datetime.datetime.now()}, {filename}, {data_all.shape}, {data.shape}"
       ELM['label_data_len'].set_text(ELM['label_data_len_fmt'].format(
         num=len(data), numa=len(data_all)))
 
@@ -178,6 +182,8 @@ def update_data():
         ELM['label_update_last_fmt'].format(
           last=datetime.datetime.fromtimestamp(
             ELM['update_last']).strftime("%Y-%m-%dT%H:%M:%S.%f")))
+    out = f"{t2 - t1:.3f}, {time.time() - t1:.3f}, " + out
+    print(out)
     
 def update_fig():
   ELM['fig'].update_yaxes(
@@ -191,10 +197,9 @@ def update_fig():
 def index():
   # initialize objects
   pio.templates.default = 'plotly_dark'
-  # ELM['fig'] = pgo.Figure()
-  ELM['fig'] = ply.subplots.make_subplots(
+  ELM['fig'] = prs.FigureResampler(pgo.Figure()).set_subplots(
     rows=2, cols=1, specs = [[{'t': 0.0}], [{}]], shared_xaxes=True,
-    vertical_spacing=0.02)
+    vertical_spacing=0.025)
 
   # render header
   ui.context.client.content.classes('h-[100vh]')