eive-tmtc/README.md

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# TMTC Commander EIVE
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This application can be used to test the EIVE On-Board Software. Furthermore, it can
also be used to retrieve all sorts of telemetry data like housekeeping data.
It is recommended to use this application with a virtual environment.
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The [virtual environemnt](#venv) chapter describes how to set one up. The [requirements](#reqs)
describes how to install all required packages.
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The configuration file can currently be found at `tmtc_conf.json`. It caches settings
like the default communication interface or parameters like the TCP port when using the TCP
communication interface.
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# Examples
Assuming you are running in a [virtual environment](#venv) and all [package requirements](#reqs)
were installed properly.
Run CLI mode
```sh
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./tmtcc.py
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```
Run GUI mode
```sh
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./tmtcc.py -g
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```
# <a id="venv"></a> Set up virtual environment
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## Linux
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1. Create virtual environment
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```sh
python3 -m venv venv
```
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2. Activate virtual environment
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```sh
. venv/bin/activate
```
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## Windows
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1. Create virtual environment
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```sh
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py -m venv venv
```
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2. Activate virtual environment
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```sh
venv\Scripts\activate.bat
```
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# <a id="reqs"></a> Install requirements
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There are two ways to install the requirements. One is to install the primary dependency
`tmtccmd` interactively. This is the recommended way
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Assuming you are running in a virtual environment:
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1. Install `tmtccmd` for virtual environment. `-e` for interactive installation.
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```sh
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cd deps/tmtccmd
pip install -e .[gui]
```
Alternatively you can also install the packages from PyPI completely, but the risk of
incompatibilities will be high there
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```sh
pip install -r requirements.txt
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```
# Run Linter
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Can be used to quickly check validity of script. Install `flake8` first
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```sh
python3 -m pip install flake8
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```
or on Windows
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```sh
py -m pip install flake8
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```
and then run the `lint.py` script
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```sh
./lint.py
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```
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# Run Auto-Formatter
This repo is auto-formatted using `black`. Assuming `black` is installed, you can simply run
```sh
black .
```