asotr_csv
The parser for converting data from the ASOTR MVN control channels into the CSV format
Contents
- Setup
- Using
- parsing ASOTR MVN data files in specified directory
- parsing all ASOTR MVN data files in specified directory and subdirectories
- plot data in python
- Output asotr_csv data files description
- Contacts
Note: <PATH_TO_ASOTR_CSV> - path where is asotr_csv program is cloned from heagit
Setup
- Install Rust compiler (if you don't have). Installation on Linux:
curl --proto '=https' --tlsv1.2 https://sh.rustup.rs -sSf | sh
Installation on Windows:
Go to address https://www.rust-lang.org/tools/install and follow instructions
For more detailed information you can go to: https://doc.rust-lang.ru/book/ch01-01-installation.html
Instruction for setup asotr_csv project
- Clone the repo to your computer:
git clone http://heagit.cosmos.ru/gamkov/asotr_csv.git
- Enter the repo and compile it:
cd <PATH_TO_ASOTR_CSV>
cargo build --release
After running this commands you will get an execution file (asotr_csv) in the following directory:
<PATH_TO_ASOTR_CSV>/target/release/
Using
Parsing ASOTR MVN data files in specified directory
-
Donwload data from science data server to directory <PATH_TO_ASOTR_DATA>.
If you don't have MVN data, you might download it from server with science SRG data (IP: 193.232.11.95).
For questions about downloading science data contact Shtykovsky A. (a.shtykovsky@cosmos.ru) or Chelovekov I. (chelovekov@cosmos.ru) -
Run linux bash script asotr_unzip.sh for directory with MVN data in order to unpack asotr.tar.gz archive with ASOTR MVN data, for example:
cd <PATH_TO_ASOTR_CSV>
./asotr_unzip.sh <PATH_TO_ASOTR_DATA>/20241231-001
Note: the script asotr_unzip.sh will not work on windows, you will need to unpack the archive <PATH_TO_ASOTR_DATA>/20241231-001/data/asotr.tar.gz manually or write the corresponding Windows bat-file
- Run program asotr_csv:
cd <PATH_TO_ASOTR_CSV>/target/release/
./asotr_csv -d <PATH_TO_ASOTR_DATA>/20241231-001
csv data are ready to use in directory:
<PATH_TO_ASOTR_CSV>/target/release/
Parsing all ASOTR MVN data files in specified directory and subdirectories
-
Donwload data from science data server to directory <PATH_TO_ASOTR_DATA>.
If you don't have MVN data, you might download it from server with science SRG data (IP: 193.232.11.95).
For questions about downloading science data contact Shtykovsky A. (a.shtykovsky@cosmos.ru) or Chelovekov I. (chelovekov@cosmos.ru) -
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:
cd <PATH_TO_ASOTR_CSV>
./asotr_all_unzip.sh <PATH_TO_ASOTR_DATA>/
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
If you want to parse astor data in specified directory, run program asotr_csv directly:
cd <PATH_TO_ASOTR_CSV>/target/release/
./asotr_csv -d <PATH_TO_ASOTR_DATA>
Or if you want to parse all raw data from ASOTR into csv files and plot csv data you might use shell script:
cd <PATH_TO_ASOTR_CSV>
./asotr_all_unzip_auto.sh
csv data will be in directory:
<PATH_TO_ASOTR_CSV>/data/
Plot csv data in Python
If you want to parse all raw data from astor into csv files and plot csv data you might use shell script:
cd <PATH_TO_ASOTR_CSV>
./asotr_all_unzip_auto.sh
or if you already have csv files with ASOTR data, you might use plot script only:
cd <PATH_TO_ASOTR_CSV>/data/
python3 plot_flight_all.py
Output asotr_csv data files description
description:
asotr01_data_T.csv - ASOTR1 temperature data in channels 1-6 (in Celsius)
asotr01_data_P.csv - ASOTR1 power data in channels 1-6 (in %)
asotr01_data_TSET.csv - ASOTR1 temperature sets in channels 1-6 (in Celsius)
asotr02_data_T.csv - ASOTR2 temperature data in channels 1-6 (in Celsius)
asotr02_data_P.csv - ASOTR2 power data in channels 1-6 (in %)
asotr02_data_TSET.csv - ASOTR2 temperature sets in channels 1-6 (in Celsius)
file data csv fromat:
column 1: Unix timestamp in seconds
column 2: timestamp (data and time)
columns 3-8 - data from control channels (power, temperature or temperature set)
Contatcs
For questions about the program, please contact Danila Gamkov, mail: danila_gamkov@cosmos.ru