import numpy as np
from thunderhopper.filetools import search_files
from thunderhopper.modeltools import load_data, save_data
from misc_functions import sort_files_by_rec
from IPython import embed

# GENERAL SETTINGS:
target_species = [
    'Chorthippus_biguttulus',
    'Chorthippus_mollis',
    'Chrysochraon_dispar',
    'Euchorthippus_declivus',
    'Gomphocerippus_rufus',
    'Omocestus_rufipes',
    'Pseudochorthippus_parallelus',
]
search_path = '../data/inv/log_hp/'
save_path = '../data/inv/log_hp/collected/'

# EXECUTION:
for i, species in enumerate(target_species):
    print(f'Processing {species}')

    # Fetch all species-specific song files:
    all_paths = search_files(species, incl='noise', ext='npz', dir=search_path)
    
    # Run through files:
    for j, path in enumerate(all_paths):

        # Load invariance data:
        data, config = load_data(path, ['scales', 'measure_inv'])
        scales, measure = data['scales'], data['measure_inv']

        if j == 0:
            # Prepare species-specific storage:
            spec_data = np.zeros((measure.shape + (len(all_paths),)), dtype=float)
        
        # Log file data:
        spec_data[..., j] = measure

    # Save collected file data:
    save_name = save_path + species    
    archive = dict(scales=scales, measure_inv=spec_data)
    save_data(save_name, archive, config, overwrite=True)

print('Done.')