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- import numpy as np
- import h5py
- import pandas as pd
- import sys
- # sys.path.append("C:/Users/iuliia/recoUI/serv")
- np.set_printoptions(threshold=np.inf)
- class ReconstructionService:
- path_np_data_json = None
- path_raw_data = None
- path_seq_json = None
- def open_file_read_data(self): # data param
- with open(self.path_np_data_json, 'r') as f:
- data = pd.read_json(f, typ='series')
- return data
- def read_consts(self, data): # consts in data param: slice | np | nf
- df = pd.DataFrame(data)
- d_scans = int(df.loc['D_scans', 0])
- Np = int(df.loc['Np', 0])
- Nf = int(df.loc['Nf', 0])
- sl_nb = int(df.loc['sl_nb', 0])
- # ETL = int(df.loc['ETL', 0]) # for tse
- # N_TE = df.loc['N_TE', 0]
- #
- # phi_wing = df.loc['phi_wing', 0] # for radial
- # N_wings = df.loc['N_wings', 0]
- return (Np, Nf, sl_nb, d_scans)
- # , ETL, N_TE, phi_wing, N_wings)
- def read_mat_file(self):
- with h5py.File(self.path_raw_data, 'r') as f:
- key = list(f.keys())[0]
- with h5py.File(self.path_raw_data, 'r') as f:
- data = f[key][:]
- data = np.array(data)
- return data
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