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run.py
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run.py
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#/usr/bin/env python3
'''
Date: Aug 28, 2020
Main script to drive the easy-wrf-trac model
Zhenning LI
'''
import numpy as np
import pandas as pd
import lib.preprocess_wrfinp, lib.air_parcel
from lib.cfgparser import read_cfg
import core.lagrange
import os, time
from multiprocessing import Pool, sharedctypes
def lag_run_seriel(itsk, airp_lst, u4d, v4d, w4d, z4d, lat2d, lon2d, dts, inpf_per_dt, final_t):
"""
Lagrangian run function for seriel
"""
start = time.time()
while(airp_lst[0].t[-1] < final_t): # not reach the final step
# ***Elemental Operation of Lagrangian Model***
# update global idt
idt=int(round((len(airp_lst[0].t)-1)/inpf_per_dt,0))
curr_t=airp_lst[0].t[-1].strftime('%Y-%m-%d %H:%M:%S')
print('TASK[%02d]: Lagrangian Run at %s' % ( itsk, curr_t))
for airp in airp_lst:
# resolve ix iy iz for the last (T+0) move
core.lagrange.resolve_curr_xyz(airp, lat2d, lon2d, z4d[idt,:,:,:])
idz=airp.iz[-1]
idx=airp.ix[-1]
idy=airp.iy[-1]
# march all parcels (T+1)
core.lagrange.lagrange_march(airp, u4d[idt,idz,idx,idy], v4d[idt,idz,idx,idy], w4d[idt, idz,idx,idy], dts)
end = time.time()
print('TASK[%02d] END: Lagrangian Run at %s, used %0.3f seconds' % (itsk, curr_t, (end - start)))
def lag_run_mtsk(itsk, airp_lst, dts, inpf_per_dt, final_t):
"""
Lagrangian run function for multiple processors
"""
start = time.time()
u4d = np.ctypeslib.as_array(s_u4d)
v4d = np.ctypeslib.as_array(s_v4d)
w4d = np.ctypeslib.as_array(s_w4d)
z4d = np.ctypeslib.as_array(s_z4d)
lat2d = np.ctypeslib.as_array(s_lat2d)
lon2d = np.ctypeslib.as_array(s_lon2d)
while(airp_lst[0].t[-1] < final_t): # not reach the final step
# ***Elemental Operation of Lagrangian Model***
# update global idt
idt=int(round((len(airp_lst[0].t)-1)/inpf_per_dt,0))
curr_t=airp_lst[0].t[-1].strftime('%Y-%m-%d %H:%M:%S')
print('TASK[%02d]: Lagrangian Run at %s' % ( itsk, curr_t))
for airp in airp_lst:
# resolve ix iy iz for the last (T+0) move
core.lagrange.resolve_curr_xyz(airp, lat2d, lon2d, z4d[idt,:,:,:])
idz=airp.iz[-1]
idx=airp.ix[-1]
idy=airp.iy[-1]
# march all parcels (T+1)
core.lagrange.lagrange_march(airp, u4d[idt,idz,idx,idy], v4d[idt,idz,idx,idy], w4d[idt, idz,idx,idy], dts)
end = time.time()
print('TASK[%02d] END: Lagrangian Run at %s, used %0.3f seconds' % (itsk, curr_t, (end - start)))
return airp_lst
def create_share_type(np_array):
np_carr = np.ctypeslib.as_ctypes(np_array)
shared_array = sharedctypes.Array(np_carr._type_, np_carr, lock=False)
return shared_array
def _init(shared_u4d, shared_v4d, shared_w4d, shared_z4d, shared_lat2d, shared_lon2d):
""" Each pool process calls this initializer. Load the array to be populated into that process's global namespace """
global s_u4d, s_v4d, s_w4d, s_z4d, s_lat2d, s_lon2d
s_u4d=shared_u4d
s_v4d=shared_v4d
s_w4d=shared_w4d
s_z4d=shared_z4d
s_lat2d=shared_lat2d
s_lon2d=shared_lon2d
def main_run():
itsk=0
print('Easy WRF Trac Start...')
print('Read Config...')
cfg_hdl=read_cfg('./conf/config.ini')
print('Init Fields...')
fields_hdl=lib.preprocess_wrfinp.wrf_acc_fields(cfg_hdl)
print('Construct Input Air Parecels...')
air_in_fhdl=pd.read_csv('./input/input.csv', names=['idx','lat0', 'lon0', 'h0'], index_col='idx')
airp_lst=[] # all traced air parcel packaged into a list
for row in air_in_fhdl.itertuples():
airp_lst.append(lib.air_parcel.air_parcel(row.Index,row.lat0, row.lon0, row.h0, cfg_hdl, fields_hdl.strt_t))
print('CORE Procedure: Lagrangian Tracing...')
# ------Prepare inital parameters---
idt=0 # initial timeframe
inpf_per_dt=int(cfg_hdl['INPUT']['input_file_dt'])/int(cfg_hdl['CORE']['time_step']) # calculate input file frq per integ dt
dts=airp_lst[0].dt.total_seconds() # dt in seconds
ntasks=int(cfg_hdl['CORE']['ntasks'])
# Whether multiplethreading would be used
if len(airp_lst) > 1000:
print('Master process %s.' % os.getpid())
# Initial shared data
shared_u4d = create_share_type(fields_hdl.U.values)
shared_v4d = create_share_type(fields_hdl.V.values)
shared_w4d = create_share_type(fields_hdl.W.values)
shared_z4d = create_share_type(fields_hdl.Z.values)
shared_lat2d = create_share_type(fields_hdl.xlat.values)
shared_lon2d = create_share_type(fields_hdl.xlon.values)
# start process pool
process_pool = Pool(processes=ntasks, initializer=_init, initargs=(shared_u4d, shared_v4d,
shared_w4d, shared_z4d, shared_lat2d, shared_lon2d,))
len_airp=len(airp_lst)
len_per_task=len_airp//ntasks
results = []
# open tasks ID 0 to ntasks-2
for itsk in range(ntasks-1):
results.append(process_pool.apply_async(lag_run_mtsk,args=(itsk, airp_lst[itsk*len_per_task:(itsk+1)*len_per_task], dts, inpf_per_dt, fields_hdl.final_t,)))
# open ID ntasks-1 in case of residual
results.append(process_pool.apply_async(lag_run_mtsk, args=(ntasks-1, airp_lst[(ntasks-1)*len_per_task:], dts,inpf_per_dt, fields_hdl.final_t,)))
print('Waiting for all subprocesses done...')
process_pool.close()
process_pool.join()
# reorg airp objs list
airp_lst=[]
for res in results:
airp_lst.extend(res.get())
print('All subprocesses done.')
else:
u4d=fields_hdl.U.values
v4d=fields_hdl.V.values
w4d=fields_hdl.W.values
z4d=fields_hdl.Z.values
lag_run_seriel(0, airp_lst, u4d, v4d, w4d, z4d, fields_hdl.xlat.values, fields_hdl.xlon.values, dts, inpf_per_dt, fields_hdl.final_t)
# end if <Muiltiple, Seriel>
print('Output...')
lib.air_parcel.acc_output(airp_lst, 5000, cfg_hdl)
if __name__=='__main__':
main_run()