Metadata-Version: 2.1
Name: Antares_Launcher
Version: 1.2.2
Summary: Antares_Launcher to run Antares on a remote linux machine
Home-page: https://github.com/AntaresSimulatorTeam/antares-launcher.git
Author: RTE, Antares Web Team
Author-email: andrea.sgattoni@rte-france.com
License: Apache Software License
Platform: linux-x86_64
Platform: macosx-10.14-x86_64
Platform: macosx-10.15-x86_64
Platform: macosx-11-x86_64
Platform: macosx-12-x86_64
Platform: macosx-13-x86_64
Platform: win-amd64
Classifier: Development Status :: 5 - Production/Stable
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Environment :: Console
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Requires-Python: >=3.8, <4
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: dev
Provides-Extra: docs
Provides-Extra: pyinstaller
License-File: LICENSE

# Antares Launcher

This program is intended to allow the user to send a list of Antares simulations to
a remote Linux machine that can run them using *SLURM Workload Manager*.

Currently, this program:

- Is configured to work with Antares studies from version 7.0 through 8.5
  (the configuration can be changed in a YAML file).
- needs a remote UNIX server that uses *SLURM Workload Manager*.

The main workflow diagram is as follows:

![Antares Study Launcher](https://raw.githubusercontent.com/AntaresSimulatorTeam/antares-launcher/main/doc/source/schema/antares_flow_chart_AS-FINAL-withbranch-wait.png)

## Requirements

See [`setup.py`](https://github.com/AntaresSimulatorTeam/antares-launcher/blob/main/setup.py)

Minimum version : python 3.8

### Main Python libraries

The following libraries are required to run the application in a production (or staging) environment:

- paramiko
- PyYAML
- tinydb
- tqdm

To install this library on production, you can run:

```shell
pip install Antares-Launcher
```

### Development and Unit Testing

To start developing, you can clone the repository from GitHub and create a Python virtualenv:

```shell
cd ~/workspace/
git clone https://github.com/AntaresSimulatorTeam/antares-launcher.git
cd ~/workspace/antares-launcher/
python3 -m venv venv
source venv/bin/activate
```

To run the unit tests, you need to install:

- pytest
- pytest-cov
- pytest-xdist

To install this library in development mode for testing, you can run:

```shell
pip install -e .[test]
```

Additional dependencies could also be used for development, for instance:

- black
- check-manifest
- isort
- mypy

### Documentation

In this project, we use Sphinx to generate the documentation.

Extra requirements are:

- m2r
- recommonmark 
- sphinx
- sphinx_rtd_theme 

## Installation

### Generation of the binary executable

In order to generate the binary file, execute the following command:

```
pyinstaller --additional-hooks-dir=antareslauncher/hooks/ -F antareslauncher/main_launcher.py -n Antares_Launcher
```

In order to generate the binary file of the light version of the launcher (reduced set of options), execute the
following command:

```
pyinstaller --additional-hooks-dir=antareslauncher/hooks/ -F antareslauncher/main_launcher_light.py -n Antares_Launcher_Light
```

The generated file will be inside the dist directory. Note that pyinstaller does not enable the cross-compilation: e
binary file generated on windows can only be expected with the windows OS

## Use Antares_Launcher

### Run Antares_Launcher

**Antares Launcher** can be used by running the executable file

By default, the program will:

- look for a configuration file necessary for the connection
named *ssh_config.json*.
If no value is given, it will look for it in default location with this order:
  - 1st: current working directory
  - 2nd: $HOME/antares_launcher_settings/ssh_config.json
  - 3rd: default configuration (json file embedded in the data directory if present).

A default *ssh_config.json* file can be found in this
repository in the `./data` directory of the project

- look for an rsa-private ssh-key to access to the remote server.
The path of the key is specified in the `ssh_config.json` file

- look for a directory containing
  the Antares studies to be run on the remote machine
  named *STUDIES-IN*.

- put the results in the directory named
  *FINISHED*

- create a directory *LOGS* that contains the logs of the programs
  and several directories containing the three log files specific of each simulation.  
  Currently **antares_launcher** uses a specific configuration attached to the specific setting of
  `data/launchAntares-${SCRIPT-VERSION}.sh`

#### Get the *how-to*

```
Antares_Launcher --help
```

will show how to use the program.

### SLURM script on the remote machine

In order to submit new jobs to the *SLURM* queue manager,
**Antares_Launcher** launches a bash-SLURM script the name of the script is set in `data/configuration.yaml`.
If Antares_Launcher fails to find this script
an exception will be raised and the execution will stop.

The specification of the script can be found in the class
`SlurmScriptFeatures` in the module `antareslauncher.slurm_script_features.py`.
See [Deploy Antares Launcher](#deploy-antares-launcher) for specific values.

## Useful commands

Since the addition of the Makefile to the project, one can now easily set a virtual environment, install requirements,
generate binary file, run tests, generate the doc and deploy it...

At the root of the directory, all the available commands can be seen with typing: make

![Antares Study Launcher](https://raw.githubusercontent.com/AntaresSimulatorTeam/antares-launcher/main/doc/source/schema/make_example.png)

If for example, you would like to run the test, a simple ``make test`` will do the trick

![Antares Study Launcher](https://raw.githubusercontent.com/AntaresSimulatorTeam/antares-launcher/main/doc/source/schema/make_test_example.png)

## Useful commands

Run unit tests:

```shell
pytest -v tests/
```

Run unit tests with code coverage:

```shell
pytest --cov=antareslauncher --cov-report=term-missing --cov-report=html --cov-branch tests/
open htmlcov/index.html
```

# Deploy Antares Launcher

## Installation on the remote server

In order to be able to accept jobs from Antares_Launcher, the remote machine needs to be ready:
the binaries and script expected by **Antares_Launcher** need to be installed and
the required ssh-public-keys need to be added to the `authorizedkeys` file
of the account of the remote server.

### Things to do

- `launchAntares-${SCRIPT-VERSION}.sh` should be copied to the remove server
  and ist path should be set in `data/configuration.yaml`

- Install the Antares solver binary `antares-x.x-solver` on the remote server.
  set its installation path in `launchAntares-${SCRIPT-VERSION}.sh`

- The R Xpansion script, `data/XpansionArgsRun.R`,
  has to be copied to the remote server and
  its path should be set in `launchAntares-${SCRIPT-VERSION}.sh`.

#### Important notice

The users currently copy the executable every time they need to use it.
This is not practical, an alternative should be developed.

## Installation of R packages on the remote server

In order to correctly install or update packages to be used on the remote server
the *R*repositories and installation-destination need to be set.

The `launchAntares-${SCRIPT-VERSION}.sh` set the variable where the *R*libraries are installed runtime,
no need to create a `.Renviron` file.
