read table for open cleaned
parent
2ec5584860
commit
2ffb9a21e6
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@ -76,7 +76,7 @@ class ReadTableForOpen:
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for k in range(len(stg.acoustic_data)):
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print("hello")
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query = f'''SELECT acoustic_data, acoustic_file, ABS_name, path_BS_noise_data, filename_BS_noise_data,
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query = f'''SELECT acoustic_data, acoustic_file, ABS_name, path_BS_noise_data, filename_BS_noise_data,
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noise_method, noise_value, data_preprocessed FROM AcousticFile WHERE (acoustic_data = {k})'''
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data = cur.execute(query).fetchall()
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print("data acoustic file", data)
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@ -101,8 +101,8 @@ class ReadTableForOpen:
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stg.hour = [0]*len(stg.acoustic_data)
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for i in range(len(stg.acoustic_data)):
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print("i = ", i)
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query1 = f'''SELECT acoustic_data, Date, Hour, frequency, sound_attenuation, kt_read, kt_corrected, NbProfiles,
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NbProfilesPerSeconds, NbCells, CellSize, PulseLength, NbPingsPerSeconds, NbPingsAveragedPerProfile,
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query1 = f'''SELECT acoustic_data, Date, Hour, frequency, sound_attenuation, kt_read, kt_corrected, NbProfiles,
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NbProfilesPerSeconds, NbCells, CellSize, PulseLength, NbPingsPerSeconds, NbPingsAveragedPerProfile,
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GainRx, GainTx FROM Measure WHERE (acoustic_data = {i})'''
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data1 = cur.execute(query1).fetchall()
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@ -140,16 +140,16 @@ class ReadTableForOpen:
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print("len stg.acoustic_data ", len(stg.acoustic_data))
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for j in range(len(stg.acoustic_data)):
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print(f"j = {j}")
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query2 = f'''SELECT acoustic_data, time, depth, BS_raw_data,
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query2 = f'''SELECT acoustic_data, time, depth, BS_raw_data,
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time_reshape, depth_reshape, BS_raw_data_reshape,
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time_cross_section, depth_cross_section,
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BS_cross_section, BS_stream_bed,
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time_cross_section, depth_cross_section,
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BS_cross_section, BS_stream_bed,
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depth_bottom, val_bottom, ind_bottom,
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time_noise, depth_noise, BS_noise_raw_data,
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time_noise, depth_noise, BS_noise_raw_data,
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SNR_raw_data, SNR_cross_section, SNR_stream_bed,
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BS_raw_data_pre_process_SNR, BS_raw_data_pre_process_average,
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BS_cross_section_pre_process_SNR, BS_cross_section_pre_process_average,
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BS_stream_bed_pre_process_SNR, BS_stream_bed_pre_process_average, BS_mean
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BS_raw_data_pre_process_SNR, BS_raw_data_pre_process_average,
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BS_cross_section_pre_process_SNR, BS_cross_section_pre_process_average,
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BS_stream_bed_pre_process_SNR, BS_stream_bed_pre_process_average, BS_mean
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FROM BSRawData WHERE (acoustic_data = {j})'''
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data2 = cur.execute(query2).fetchall()
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@ -270,10 +270,10 @@ class ReadTableForOpen:
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# +++++++++++++++++++++++
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for s in range(len(stg.acoustic_data)):
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query3 = f'''SELECT acoustic_data, temperature,
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query3 = f'''SELECT acoustic_data, temperature,
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tmin_index, tmin_value, tmax_index, tmax_value,
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rmin_index, rmin_value, rmax_index, rmax_value,
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freq_bottom_detection_index, freq_bottom_detection_value,
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freq_bottom_detection_index, freq_bottom_detection_value,
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SNR_filter_value, Nb_cells_to_average_BS_signal
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FROM Settings WHERE (acoustic_data = {s})'''
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@ -293,10 +293,10 @@ class ReadTableForOpen:
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# --- Table Sediment File ---
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# +++++++++++++++++++++++++++
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query4 = f'''SELECT path_fine, filename_fine, radius_grain_fine, path_sand, filename_sand, radius_grain_sand,
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time_column_label, distance_from_bank_column_label, depth_column_label,
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Ctot_fine_column_label, D50_fine_column_label,
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Ctot_sand_column_label, D50_sand_column_label
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query4 = f'''SELECT path_fine, filename_fine, radius_grain_fine, path_sand, filename_sand, radius_grain_sand,
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time_column_label, distance_from_bank_column_label, depth_column_label,
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Ctot_fine_column_label, D50_fine_column_label,
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Ctot_sand_column_label, D50_sand_column_label
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from SedimentsFile'''
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data4 = cur.execute(query4).fetchall()
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@ -321,10 +321,10 @@ class ReadTableForOpen:
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# --- Table Sediment Data ---
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# +++++++++++++++++++++++++++
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query5 = f'''SELECT sample_fine_name, sample_fine_index, distance_from_bank_fine, depth_fine, time_fine,
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query5 = f'''SELECT sample_fine_name, sample_fine_index, distance_from_bank_fine, depth_fine, time_fine,
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Ctot_fine, Ctot_fine_per_cent, D50_fine, frac_vol_fine, frac_vol_fine_cumul,
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sample_sand_name, sample_sand_index, distance_from_bank_sand, depth_sand, time_sand,
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Ctot_sand, Ctot_sand_per_cent, D50_sand, frac_vol_sand, frac_vol_sand_cumul
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sample_sand_name, sample_sand_index, distance_from_bank_sand, depth_sand, time_sand,
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Ctot_sand, Ctot_sand_per_cent, D50_sand, frac_vol_sand, frac_vol_sand_cumul
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from SedimentsData'''
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data5 = cur.execute(query5).fetchall()
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