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All the steps below are to be carried out in hypocentre

1.Generate summary benchmark:

The following steps should only be performed once for each selected binary file

1. Select a source binary file: /nesi/transit/nesi00213/RunFolder/daniel.lagrava/Kelly_VMSI_Kelly-h0p4_EMODv3p0p4_180531/BB/Cant1D_v2-midQ_leer_hfnp2mm+_rvf0p8_sd50_k0p045/Kelly_HYP01-03_S1244/Acc/BB_with_siteamp.bin
2. Identify corresponding databse for the selected source binary file: /home/nesi00213/RunFolder/wdl16/database_old_pp/database.db
3. Find the script to extract benchmark im value files from the database in step 2: /nesi/projects/nesi00213/dev/impp_datasets/extract_ims.sql
4. Create a folder to store benchmark files. eg benchmark_im_sims
5. Execute extract_ims.sql in database.db 4 times with specified components. eg: 'ver'
   
6. Export results to benchmark_im_sims/benchmark_im_sim_ver.csv. Clik OK and don't change anything when 'Export data as csv' window prompts
   
   
7. Repeat step 4 and 5 with different components: '090', '000', 'geom'
8. Now you have 4 summary benchmark files benchmark_im_sim_090/000/ver/geom.csv

2.Generate test input files

1. Follow the instruction in Binary Workflow FAQ, we can generate single waveform files. These waveforms are intended for the testing of ascii functionality of calculate_ims.py. Open a python cell

   Code Block
   language py
   from qcore.timeseries import BBSeis bb = BBSeis('/nesi/transit/nesi00213/RunFolder/daniel.lagrava/Kelly_VMSI_Kelly-h0p4_EMODv3p0p4_180531/BB/Cant1D_v2-midQ_leer_hfnp2mm+_rvf0p8_sd50_k0p045/Kelly_HYP01-03_S1244/Acc/BB_with_siteamp.bin') bb.all2txt(self, prefix='/home/$user/benchmark_im_sim_waveforms/', f='acc'):

   
   Now we have all the wavefoms. 
   

3. Create Test Folder

1. Create The test folder structure follows Testing Standards for ucgmsim Git repositories
2. Select 10 stations you want to test and cp corresponding waveforms files to the singel_files directory as below
3. Copy the source binary file 'BB_with_siteamp.bin' to the input folder
4. Run 'write_benchmark_csv(sample_bench_path)' function inside test_calculate_ims.py to generate 'new_im_sim_benchmark.csv', where 'sample_bench_path' is the folder we created in 1.4 Generate summary_benchmark: benchmark_im_sims. This function should only be run once for each binary file.

NOW you have all the input files ready

4. Run Pytest

Make sure you are currently under the test_calculate_ims folder, run:  pytest -v -s test_calculate_ims.py

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