Metadata-Version: 2.4
Name: dar_invenio_cli
Version: 0.2.3
Summary: Dar Invenio Command Line Interface
Home-page: https://gitlab.ics.muni.cz/dataraptors/elter/dar-invenio-cli
Author: Dominik Dubovsky <485020@mail.muni.cz>
License: MIT
Project-URL: Source, https://gitlab.ics.muni.cz/dataraptors/elter/dar-invenio-cli
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.rst
Requires-Dist: requests
Requires-Dist: asyncio
Requires-Dist: aiohttp
Requires-Dist: click
Dynamic: license-file

# DAR-INVENIO-CLI

DAR-INVENIO-CLI is a command-line tool for creating drafts and uploading files in the Invenio webpage.

## Installation

### From PyPI (Recommended)

This installation may vary for different operating systems.

Link to [Pypi package](https://pypi.org/project/dar-invenio-cli/)

#### Steps with venv activation:

```bash
sudo apt install python3-full 
```

```bash
python3 -m venv venv
```

```bash
source venv/bin/activate
```

```bash
pip install <your-package>
```

### From source (cloned repository)

1. **Install Python and venv:**
   ```bash
   sudo apt update
   sudo apt install python3 python3-pip python3-venv git
   ```

2. **Clone the repository:**
   ```bash
   git clone git@gitlab.ics.muni.cz:dataraptors/elter/dar-invenio-cli.git
   cd dar-invenio-cli
   ```

3. **Create and activate a virtual environment:**
   ```bash
   python3 -m venv .venv
   source .venv/bin/activate
   ```

4. **Install the package:**
   ```bash
   pip install .
   ```

## Configuration

Before using the features, you need to set up the configuration. The configuration initialization with `api_token` is
required.

```bash
dar-invenio-cli config init --api-token <your-api-token>
```

This init configuration is also possible with optional parameters: --base-api-url, --model and --community e.g.:

```bash
dar-invenio-cli config init --api-token <your-api-token> --base-api-url <your-base-api-url> --model <your-model> --community <your-community>
```

You can also update the values for `base-api-url` and `model` or `api_token` later:

```bash
dar-invenio-cli config update 
```

with optional options:

- `--base-api-url <your-base-api-url>`
- `--model <your-model>`
- `--api-token <your-api-token>`

The init script sets default values for the cli and you can see the actual configuration by running:

```bash
dar-invenio-cli config show
```

## Usage

If you do not have configuration set up, the commands will prompt you to run the configuration initialization first.

### Create a single draft

From a JSON file - you need to provide valid json with its metadata structure, otherwise the creation may fail:

```bash
dar-invenio-cli create draft --from-file /path/to/your/file.json
```

From a name - creates a draft with empty metadata except for the title:

```bash
dar-invenio-cli create draft --from-title "My Draft Name"
```

### Create multiple drafts

From multiple JSON files:

```bash
dar-invenio-cli create drafts --from-files "/path/to/file1.json" --from-files "/path/to/file2.json"
```

From a folder containing JSON files:

```bash
dar-invenio-cli create drafts --from-folder "/path/to/your/folder"
```

### Upload files to a draft

```bash
dar-invenio-cli upload files <draft_id> "/path/to/file1" "/path/to/file2"
```

### Upload files from a folder to a draft

It uploads all files from the specified folder to the given draft - if you want to have it in one file, create and
upload ZIP.

```bash
dar-invenio-cli upload folder <draft_id> "/path/to/your/folder"
```

## For Developers

The core logic is located in `dar_invenio_cli/core.py`. You can import and use the functions from this module in your
own Python projects.

## Deployment to PyPI

The easiest way, how to deploy a new version is to bump the version in the setup.cfg and run the deploy pipline on
GitLab.

