correct README
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Danila Gamkov
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@ -12,6 +12,8 @@ The parser for converting data from the ASOTR MVN control channels into the CSV
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- **Output asotr_csv data files description**
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- **Contacts**
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**Note**: \<PATH_TO_ASOTR_CSV\> - path where is asotr_csv program is cloned from heagit
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## Setup
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1. Install Rust compiler (if you don't have).
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Installation on Linux:
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@ -41,7 +43,7 @@ After running this commands you will get an execution file (asotr_csv) in the fo
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\<PATH_TO_ASOTR_CSV\>/target/release/
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## Using
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### parsing ASOTR MVN data files in specified directory
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### Parsing ASOTR MVN data files in specified directory
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1. Donwload data from science data server to directory \<PATH_TO_ASOTR_DATA\>.
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If you don't have MVN data, you might download it from server with science SRG data (IP: 193.232.11.95).
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For questions about downloading science data contact Shtykovsky A. (a.shtykovsky@cosmos.ru) or Chelovekov I. (chelovekov@cosmos.ru)
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@ -62,7 +64,7 @@ cd <PATH_TO_ASOTR_CSV>/target/release/
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csv data are ready to use in directory:
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\<PATH_TO_ASOTR_CSV\>/target/release/
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### parsing all ASOTR MVN data files in specified directory and subdirectories
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### Parsing all ASOTR MVN data files in specified directory and subdirectories
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1. Donwload data from science data server to directory \<PATH_TO_ASOTR_DATA\>.
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If you don't have MVN data, you might download it from server with science SRG data (IP: 193.232.11.95).
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For questions about downloading science data contact Shtykovsky A. (a.shtykovsky@cosmos.ru) or Chelovekov I. (chelovekov@cosmos.ru)
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@ -70,21 +72,31 @@ For questions about downloading science data contact Shtykovsky A. (a.shtykovsky
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2. Run linux bash script **asotr_all_unzip.sh** for directory with MVN data in order to unpack all **asotr.tar.gz** archives with ASOTR MVN data, for example:
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```
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cd <PATH_TO_ASOTR_CSV>
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./asotr_all_unzip.sh <PATH_TO_ASOTR_DATA>
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./asotr_all_unzip.sh <PATH_TO_ASOTR_DATA>/
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```
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**Note**: the script **asotr_all_unzip.sh** will not work on windows, you will need to unpack the each archive **\<PATH_TO_ASOTR_DATA\>/\<DIRECTORY_WITH_DATA\>/data/asotr.tar.gz** manually or write the corresponding Windows bat-file
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3. Run program asotr_csv:
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If you want to parse astor data in specified directory, run program asotr_csv directly:
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```
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cd <PATH_TO_ASOTR_CSV>/target/release/
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./asotr_csv -d <PATH_TO_ASOTR_DATA>
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```
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csv data are ready to use in directory:
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\<PATH_TO_ASOTR_CSV\>/target/release/
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3. csv data in directory:
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\<PATH_TO_ASOTR_CSV\>/data/
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### Plot csv data in Python
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If you want to plot csv data you might use \<PATH_TO_ASOTR_CSV\>/**asotr_all_unzip_auto.sh** shell script or use \<PATH_TO_ASOTR_CSV\>/data/**plot_flight_all.py** python-script directly for set different configurations.
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If you want to parse all raw data from astor into csv files and plot csv data you might use shell script:
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```
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cd <PATH_TO_ASOTR_CSV>
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./asotr_all_unzip_auto.sh
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```
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or if you already have csv files with ASOTR data, you might use plot script only:
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```
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cd <PATH_TO_ASOTR_CSV>/data/
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plot_flight_all.py
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```
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## Output asotr_csv data files description
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**description:**
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@ -8,4 +8,5 @@ then
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else
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path_=$1
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tar -xzf ${path_}/data/asotr.tar.gz -C ${path_}/data
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tar -xzf ${path_}/logs.tar.gz -C ${path_}
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fi
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@ -4,12 +4,13 @@ import pandas as pd
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from datetime import datetime
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import sys
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font = 8
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print_width = 10
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print_height = 8
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font = 4
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print_width = 6
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print_height = 4
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width = 1
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plot_windows = 2
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channels = [1, 1, 1, 1, 1, 1]
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channels = [0, 0, 1, 0, 0, 1]
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asotr_kit = '01'
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xborders=False
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begin=0;
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@ -18,10 +19,10 @@ end=0;
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path_B = '/home/danila/Danila/work/MVN/flight/beta_forecast/'
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fname_B = 'beta_2025.xlsx'
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path = '/home/danila/Danila/work/MVN/Soft/asotr_csv/data/'
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fname = 'asotr02_data_T.csv'
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fname_pow = 'asotr02_data_P.csv'
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pict_name = path + "ASOTR2_flight_T_P_all"
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ox_dtime_format = '%d %H:%M'
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fname = 'asotr' + asotr_kit + '_data_T.csv'
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fname_pow = 'asotr' + asotr_kit + '_data_P.csv'
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pict_name = path + 'ASOTR' + asotr_kit + '_flight_T_P_all'
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ox_dtime_format = '%d.%m %H:%M:%S'
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legend=['БРД1', 'БРД2', 'БРД3', 'БРД4', 'плита МУП МВН, датчик1', 'плита МУП МВН, датчик 2']
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width=[1, 1, 1, 1, 1, 1]
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@ -106,8 +107,9 @@ elif plot_windows == 2:
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i += 1
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ax3 = ax1.twinx()
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ax3.plot(data_b['timestamp'], data_b['beta_angle'], marker[4], linewidth=width[5], label='угол Бета')
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ax3.plot(data_b['timestamp'], data_b['beta_angle'], marker[4], color='r', linewidth=width[5], label='угол Бета')
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ax3.set_ylabel('Угол Бета', fontsize=font)
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ax3.tick_params(axis="y", width=1, labelsize=font)
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ax3.legend(fontsize=font, loc='upper right')
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i = 0
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@ -124,7 +126,7 @@ elif plot_windows == 2:
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ax1.set_xlabel('Время', fontsize=font)
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ax1.legend(fontsize=font, loc='lower right')
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date_formatter = dates.DateFormatter('%d.%m.%Y %H')
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date_formatter = dates.DateFormatter(ox_dtime_format)
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ax1.xaxis.set_major_formatter(date_formatter)
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ax2.tick_params(axis="both", width=1, labelsize=font)
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@ -136,6 +138,7 @@ elif plot_windows == 2:
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date_formatter = dates.DateFormatter(ox_dtime_format)
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ax2.xaxis.set_major_formatter(date_formatter)
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plt.title('АСОТР ' + asotr_kit, fontsize=font)
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plt.tight_layout()
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fig.savefig(pict_name)
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plt.show()
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