%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=Ints_monitor
# 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 calc=True
%%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= irene5037.c-irene.mg1.tgcc.ccc.cea.fr starting dask cluster on local= True workers 16 10000000000 False not local in tgcc rome local cluster starting This code is running on irene5037.c-irene.mg1.tgcc.ccc.cea.fr using SEDNA_ALPHA_MONITOR file experiment, read from ../lib/SEDNA_ALPHA_MONITOR.yaml on year= * on month= 23 outputpath= ../results/rome_SEDNA_ALPHA_MONITOR/23/ daskreport= ../results/dask/2514864irene5037.c-irene.mg1.tgcc.ccc.cea.fr_SEDNA_ALPHA_MONITOR_23Section_test/ CPU times: user 292 ms, sys: 233 ms, total: 525 ms Wall time: 7.94 s
Client
|
Cluster
|
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 | |
---|---|---|---|---|---|---|---|---|---|---|
Sectiontest | gridS.vosaline,gridT.votemper,gridV.vomecrty,p... | data.drop_vars('vozocrtx').unify_chunks() | FramS | section | None | {'vosaline': (33,36.2), 'votemper': (-2,6), 'v... | None | S-1 | ||
Sectiontest | gridS.vosaline,gridT.votemper,gridU.vozocrtx,p... | data.drop_vars('vomecrty').chunk({'y':-1}).uni... | BFGS | section | None | {'vosaline': (28,35), 'votemper': (-2,2), 'voz... | None | S-2 |
Each computation consists of
%%time
#todo add 'year' here.
import os
calcswitch=os.environ.get('calc', 'True')
print('calcswitch=',calcswitch)
#if calcswitch=='True':
data = load.datas(catalog_url,df.Inputs,month,year,daskreport) if calcswitch=='True' else 0
data
#print('#1 Data: created:')
#print('# if we raed too much file, we can do sel to take out some dates here')
#data
calcswitch= False CPU times: user 109 µs, sys: 28 µs, total: 137 µs Wall time: 88.9 µs
0
%%time
monitor.auto(df,data,savefig,daskreport,outputpath,file_exp='SEDNA'
)
False False ../nc_results/rome_SEDNA_ALPHA_MONITOR/23/ switch:calcswitch,saveswitch,plotswitch False False True here load the computed value from ../nc_results/rome_SEDNA_ALPHA_MONITOR/23/ SEDNA_section_FramS_Sectiontest start saving data filename= ../nc_results/rome_SEDNA_ALPHA_MONITOR/23/SEDNA_section_FramS_Sectiontest/t_*.nc load computed data completed plots.section(data,path=outputpath,filename=filename,save=savefig,cmap=cmap,clim=clim,clabel=clabel) #5 Plotting SEDNA_section_FramS_Sectiontest ../results/rome_SEDNA_ALPHA_MONITOR/23/SEDNA_section_FramS_Sectiontest_20040701-20040731.html starts plotting ../results/rome_SEDNA_ALPHA_MONITOR/23/SEDNA_section_FramS_Sectiontest_20040701-20040731.html created
here load the computed value from ../nc_results/rome_SEDNA_ALPHA_MONITOR/23/ SEDNA_section_BFGS_Sectiontest start saving data filename= ../nc_results/rome_SEDNA_ALPHA_MONITOR/23/SEDNA_section_BFGS_Sectiontest/t_*.nc load computed data completed plots.section(data,path=outputpath,filename=filename,save=savefig,cmap=cmap,clim=clim,clabel=clabel) #5 Plotting SEDNA_section_BFGS_Sectiontest ../results/rome_SEDNA_ALPHA_MONITOR/23/SEDNA_section_BFGS_Sectiontest_20040701-20040731.html starts plotting ../results/rome_SEDNA_ALPHA_MONITOR/23/SEDNA_section_BFGS_Sectiontest_20040701-20040731.html created
CPU times: user 41.1 s, sys: 5.14 s, total: 46.2 s Wall time: 1min 18s