%matplotlib inline
import pandas as pd
import socket
host = socket.getfqdn()
from core import load, zoom, calc, save,plots,monitor
#reload funcs after updating ./core/*.py
import importlib
importlib.reload(load)
importlib.reload(zoom)
importlib.reload(calc)
importlib.reload(save)
importlib.reload(plots)
importlib.reload(monitor)
<module 'core.monitor' from '/ccc/work/cont003/gen7420/odakatin/monitor-sedna/notebook/core/monitor.py'>
# 'month': = 'JOBID' almost month but not really,
# If you submit the job with job scheduler, above
#below are list of enviroment variable one can pass
#%env local='2"
# local : if True run dask local cluster, if not true, put number of workers
# setted in the 'local'
# if no 'local ' given, local will be setted automatically to 'True'
#%env ychunk='2'
#%env tchunk='2'
# controls chunk. 'False' sets no modification from original netcdf file's chunk.
# ychunk=10 will group the original netcdf file to 10 by 10
# tchunk=1 will chunk the time coordinate one by one
#%env control=FWC_SSH
# name of control file to be used for computation/plots/save/
#%env file_exp=
# 'file_exp': Which 'experiment' name is it?
#. this corresopnds to intake catalog name without path and .yaml
#%env year=
# for Validation, this correspoinds to path/year/month 's year
# for monitoring, this corresponids to 'date' having * means do all files in the monitoring directory
# setting it as *0[0-9] &*1[0-9]& *[2-3][0-9], the job can be separated in three lots.
#%env month=
# for monitoring this corresponds to file path path-XIOS.{month}/
#
#%env save= proceed saving? True or False , Default is setted as True
#%env plot= proceed plotting? True or False , Default is setted as True
#%env calc= proceed computation? or just load computed result? True or False , Default is setted as True
#%env save=False
#%env lazy=False
%%time
# 'savefig': Do we save output in html? or not. keep it true.
savefig=True
client,cluster,control,catalog_url,month,year,daskreport,outputpath = load.set_control(host)
!mkdir -p $outputpath
!mkdir -p $daskreport
client
local True using host= irene4142.c-irene.mg1.tgcc.ccc.cea.fr starting dask cluster on local= True workers 16 10000000000 False rome local cluster starting This code is running on irene4142.c-irene.mg1.tgcc.ccc.cea.fr using SEDNA_DELTA_MONITOR file experiment, read from ../lib/SEDNA_DELTA_MONITOR.yaml on year= 2012 on month= 02 outputpath= ../results/SEDNA_DELTA_MONITOR/ daskreport= ../results/dask/6414349irene4142.c-irene.mg1.tgcc.ccc.cea.fr_SEDNA_DELTA_MONITOR_02M_AWTMD/ CPU times: user 551 ms, sys: 127 ms, total: 677 ms Wall time: 20.7 s
Client-cd85b7af-134f-11ed-af9a-080038b9322d
| Connection method: Cluster object | Cluster type: distributed.LocalCluster |
| Dashboard: http://127.0.0.1:8787/status |
3c935b1a
| Dashboard: http://127.0.0.1:8787/status | Workers: 16 |
| Total threads: 128 | Total memory: 251.06 GiB |
| Status: running | Using processes: True |
Scheduler-a4ebc874-656f-41b8-84d3-937cda7639ba
| Comm: tcp://127.0.0.1:42907 | Workers: 16 |
| Dashboard: http://127.0.0.1:8787/status | Total threads: 128 |
| Started: Just now | Total memory: 251.06 GiB |
| Comm: tcp://127.0.0.1:35337 | Total threads: 8 |
| Dashboard: http://127.0.0.1:34096/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:36780 | |
| Local directory: /tmp/dask-worker-space/worker-rcxwbji9 | |
| Comm: tcp://127.0.0.1:41434 | Total threads: 8 |
| Dashboard: http://127.0.0.1:32771/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:36290 | |
| Local directory: /tmp/dask-worker-space/worker-0gnw8qvr | |
| Comm: tcp://127.0.0.1:36547 | Total threads: 8 |
| Dashboard: http://127.0.0.1:34760/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:43032 | |
| Local directory: /tmp/dask-worker-space/worker-jtgqd1qp | |
| Comm: tcp://127.0.0.1:40966 | Total threads: 8 |
| Dashboard: http://127.0.0.1:41173/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:38259 | |
| Local directory: /tmp/dask-worker-space/worker-c87fqk0a | |
| Comm: tcp://127.0.0.1:34403 | Total threads: 8 |
| Dashboard: http://127.0.0.1:33186/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:46332 | |
| Local directory: /tmp/dask-worker-space/worker-uvlghdnb | |
| Comm: tcp://127.0.0.1:38349 | Total threads: 8 |
| Dashboard: http://127.0.0.1:40587/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:37902 | |
| Local directory: /tmp/dask-worker-space/worker-yqoc7kp3 | |
| Comm: tcp://127.0.0.1:45248 | Total threads: 8 |
| Dashboard: http://127.0.0.1:37132/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:46507 | |
| Local directory: /tmp/dask-worker-space/worker-rays32dc | |
| Comm: tcp://127.0.0.1:40300 | Total threads: 8 |
| Dashboard: http://127.0.0.1:36087/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:46491 | |
| Local directory: /tmp/dask-worker-space/worker-6fahtvwm | |
| Comm: tcp://127.0.0.1:34728 | Total threads: 8 |
| Dashboard: http://127.0.0.1:44040/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:41460 | |
| Local directory: /tmp/dask-worker-space/worker-cxxi7pqj | |
| Comm: tcp://127.0.0.1:42786 | Total threads: 8 |
| Dashboard: http://127.0.0.1:45175/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:45368 | |
| Local directory: /tmp/dask-worker-space/worker-sjfiki12 | |
| Comm: tcp://127.0.0.1:46417 | Total threads: 8 |
| Dashboard: http://127.0.0.1:45564/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:39044 | |
| Local directory: /tmp/dask-worker-space/worker-mnduv0zh | |
| Comm: tcp://127.0.0.1:41459 | Total threads: 8 |
| Dashboard: http://127.0.0.1:45372/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:44484 | |
| Local directory: /tmp/dask-worker-space/worker-r5j_gbvc | |
| Comm: tcp://127.0.0.1:34329 | Total threads: 8 |
| Dashboard: http://127.0.0.1:36913/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:46872 | |
| Local directory: /tmp/dask-worker-space/worker-o47k3r_o | |
| Comm: tcp://127.0.0.1:34028 | Total threads: 8 |
| Dashboard: http://127.0.0.1:46223/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:38064 | |
| Local directory: /tmp/dask-worker-space/worker-euitu8x2 | |
| Comm: tcp://127.0.0.1:35185 | Total threads: 8 |
| Dashboard: http://127.0.0.1:33488/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:45361 | |
| Local directory: /tmp/dask-worker-space/worker-6ly9x0s2 | |
| Comm: tcp://127.0.0.1:43486 | Total threads: 8 |
| Dashboard: http://127.0.0.1:37779/status | Memory: 15.69 GiB |
| Nanny: tcp://127.0.0.1:46475 | |
| Local directory: /tmp/dask-worker-space/worker-9hxyyjep | |
df=load.controlfile(control)
#Take out 'later' tagged computations
#df=df[~df['Value'].str.contains('later')]
df
| Value | Inputs | Equation | Zone | Plot | Colourmap | MinMax | Unit | Oldname | Unnamed: 10 | |
|---|---|---|---|---|---|---|---|---|---|---|
| AW_maxtemp_depth | gridT.votemper,gridS.vosaline,param.mask,param... | calc.AWTD4(data) | ALL | AWTD_map | jet | (0,800) | m | M-5 |
Each computation consists of
%%time
import os
calcswitch=os.environ.get('calc', 'True')
lazy=os.environ.get('lazy','False' )
loaddata=((df.Inputs != '').any())
print('calcswitch=',calcswitch,'df.Inputs != nothing',loaddata, 'lazy=',lazy)
data = load.datas(catalog_url,df.Inputs,month,year,daskreport,lazy=lazy) if ((calcswitch=='True' )*loaddata) else 0
data
calcswitch= False df.Inputs != nothing True lazy= False CPU times: user 297 µs, sys: 46 µs, total: 343 µs Wall time: 339 µs
0
%%time
monitor.auto(df,data,savefig,daskreport,outputpath,file_exp='SEDNA'
)
#calc= False #save= False #plot= True Value='AW_maxtemp_depth' Zone='ALL' Plot='AWTD_map' cmap='jet' clabel='m' clim= (0, 800) outputpath='../results/SEDNA_DELTA_MONITOR/' nc_outputpath='../nc_results/SEDNA_DELTA_MONITOR/' filename='SEDNA_AWTD_map_ALL_AW_maxtemp_depth' #3 no computing , loading starts dtaa=save.load_data(plot=Plot,path=nc_outputpath,filename=filename) start saving data filename= ../nc_results/SEDNA_DELTA_MONITOR/SEDNA_AWTD_map_ALL_AW_maxtemp_depth/t_*/x_*/y_*.nc
--------------------------------------------------------------------------- OSError Traceback (most recent call last) File <timed eval>:1, in <module> File /ccc/work/cont003/gen7420/odakatin/monitor-sedna/notebook/core/monitor.py:76, in auto(df, val, savefig, daskreport, outputpath, file_exp) 74 print('dtaa=save.load_data(plot=Plot,path=nc_outputpath,filename=filename)' ) 75 with performance_report(filename=daskreport+"_calc_"+step.Value+".html"): ---> 76 data=save.load_data(plot=Plot,path=nc_outputpath,filename=filename) 77 #saveswitch=False 79 display(data) File /ccc/work/cont003/gen7420/odakatin/monitor-sedna/notebook/core/save.py:38, in load_data(plot, path, filename) 36 data=load_twoD(path,filename,nested=False) 37 else: ---> 38 data=load_twoD(path,filename) 39 print('load computed data completed') 40 return data File /ccc/work/cont003/gen7420/odakatin/monitor-sedna/notebook/core/save.py:47, in load_twoD(path, filename, nested) 45 filename=filesave+'/t_*/x_*/y_*.nc' if nested else filesave+'/t_*.nc' 46 print ('filename=',filename) ---> 47 return xr.open_mfdataset(filename,parallel=True 48 ,compat='override' 49 ,data_vars='minimal' 50 ,concat_dim=('x','y','t') 51 ,combine='nested' #param_xios 52 ,coords='minimal') File /ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/xarray/backends/api.py:937, in open_mfdataset(paths, chunks, concat_dim, compat, preprocess, engine, data_vars, coords, combine, parallel, join, attrs_file, combine_attrs, **kwargs) 934 paths = [os.fspath(p) if isinstance(p, os.PathLike) else p for p in paths] 936 if not paths: --> 937 raise OSError("no files to open") 939 if combine == "nested": 940 if isinstance(concat_dim, (str, DataArray)) or concat_dim is None: OSError: no files to open