#!/bin/sh
#conda update anaconda
#conda update jupyter
#conda update ipython
#conda update notebook

cd /mnt/bins/
wget https://s3-us-west-1.amazonaws.com/gmto.rconan/gmtAtmosphereL060.zip
unzip gmtAtmosphereL060.zip

sudo mkdir /mnt/simul_results/
sudo chown ubuntu /mnt/simul_results/

cd /home/ubuntu/Dropbox/CEO/simul_scripts_test/
scp -p -i /home/ubuntu/fquiros/awsdos.pem.txt ubuntu@52.8.44.47:/home/ubuntu/fquiros/datadisk/201702-highOrderAO/IntMats/IM_SHgeom_Karhunen-Loeve_nmode300_SHthr0.2.npz .
scp -p -i /home/ubuntu/fquiros/awsdos.pem.txt ubuntu@52.8.44.47:/home/ubuntu/fquiros/datadisk/201702-highOrderAO/IntMats/IM_SHgeom_Karhunen-Loeve_nmode91_SHthr0.2.npz .

for i in 33 7 14  #30 #45 57
#for i in 2 100
do
   cd /home/ubuntu/Dropbox/CEO/simul_scripts_test/
   python set_simulation_params.py $i
   now=`date +"%Y%m%d%H%M%S"`
   echo $now
   filename="/mnt/simul_results/Phasing_Ctrl_$now.zip"
   echo $filename
   #cp Phasing_in_AO_mode_params.py /mnt/simul_results/
   cp params_algorithmI.py /mnt/simul_results/Phasing_in_AO_mode_params.py
   env PYTHONPATH=/home/ubuntu/CEO/python/ jupyter nbconvert --to markdown --ExecutePreprocessor.timeout=-1 --NbConvertApp.output_files_dir='/mnt/simul_results/figures/' --execute Phasing_and_ActiveOptics_control_in_AO_mode.ipynb
   echo $filename
   mv Phasing_Ctrl.log Phasing_and_ActiveOptics_control_in_AO_mode.md /mnt/simul_results/
   cd /mnt/simul_results/
   zip $filename Phasing_Ctrl.log Phasing_in_AO_mode_params.py simul_results.npz figures/* Phasing_and_ActiveOptics_control_in_AO_mode.md
   scp -p -i /home/ubuntu/fquiros/awsdos.pem.txt $filename ubuntu@52.8.44.47:/home/ubuntu/fquiros/datadisk/201705-Phasing_AlgorithmI/
   #mv $filename /home/ubuntu/fquiros/datadisk/201702-AGWS_SPS_sensitivity/NSmode/
done
#aws s3 cp $filename s3://gmto.rconan/AcO_Ctrl/