Metadata-Version: 2.1
Name: aiolinkding
Version: 2022.5.1
Summary: A Python3, async interface to the linkding REST API
Home-page: https://github.com/bachya/aiolinkding
License: MIT
Author: Aaron Bach
Author-email: bachya1208@gmail.com
Requires-Python: >=3.8.0,<4.0.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Dist: aiohttp (>=3.8.0)
Project-URL: Repository, https://github.com/bachya/aiolinkding
Description-Content-Type: text/markdown

# 🔖 aiolinkding: a Python3, async library to the linkding REST API

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`aiolinkding` is a Python3, async library that interfaces with
[linkding](https://github.com/sissbruecker/linkding) instances. It is intended to be a
reasonably light wrapper around the linkding API (meaning that instead of drowning the user
in custom objects/etc., it focuses on returning JSON straight from the API).

 [Installation](#installation)
- [Python Versions](#python-versions)
- [Usage](#usage)
  * [Creating a Client](#creating-a-client)
  * [Working with Bookmarks](#working-with-bookmarks)
    + [Getting All Bookmarks](#getting-all-bookmarks)
    + [Getting Archived Bookmarks](#getting-archived-bookmarks)
    + [Getting a Single Bookmark](#getting-a-single-bookmark-by-id)
    + [Creating a New Bookmark](#creating-a-new-bookmark)
    + [Updating an Existing Bookmark by ID](#updating-an-existing-bookmark-by-id)
    + [Archiving/Unarchiving a Bookmark](#archivingunarchiving-a-bookmark)
    + [Deleting a Bookmark](#deleting-a-bookmark)
  * [Working with Tags](#working-with-tags)
    + [Getting All Tags](#getting-all-tags)
    + [Getting a Single Tag](#getting-a-single-tag-by-id)
    + [Creating a New Tag](#creating-a-new-Tag)
  * [Connection Pooling](#connection-pooling)
- [Contributing](#contributing)

# Installation

```python
pip install aiolinkding
```

# Python Versions

`aiolinkding` is currently supported on:

* Python 3.8
* Python 3.9
* Python 3.10

# Usage

## Creating a Client

It's easy to create an API client for a linkding instance. All you need are two
parameters:

1. A URL to a linkding instance
2. A linkding API token

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")


asyncio.run(main())
```

## Working with Bookmarks

The `Client` object provides easy access to several bookmark-related API operations.

### Getting All Bookmarks

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Get all bookmarks:
    bookmarks = await client.bookmarks.async_get_all()
    # >>> { "count": 100, "next": null, "previous": null, "results": [...] }


asyncio.run(main())
```

`client.bookmarks.async_get_all()` takes three optional parameters:

* `query`: a string query to filter the returned bookmarks
* `limit`: the maximum number of results that should be returned
* `offset`: the index from which to return results (e.g., `5` starts at the fifth bookmark)

### Getting Archived Bookmarks

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Get all archived bookmarks:
    bookmarks = await client.bookmarks.async_get_archived()
    # >>> { "count": 100, "next": null, "previous": null, "results": [...] }


asyncio.run(main())
```

`client.bookmarks.async_get_archived()` takes three optional parameters:

* `query`: a string query to filter the returned bookmarks
* `limit`: the maximum number of results that should be returned
* `offset`: the index from which to return results (e.g., `5` starts at the fifth bookmark)

### Getting a Single Bookmark by ID

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Get a single bookmark:
    bookmark = await client.bookmarks.async_get_single(37)
    # >>> { "id": 37, "url": "https://example.com", "title": "Example title", ... }


asyncio.run(main())
```

### Creating a New Bookmark

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Create a new bookmark:
    created_bookmark = await client.bookmarks.async_create(
        "https://example.com",
        title="Example title",
        description="Example description",
        tag_names=[
            "tag1",
            "tag2",
        ],
    )
    # >>> { "id": 37, "url": "https://example.com", "title": "Example title", ... }


asyncio.run(main())
```

`client.bookmarks.async_create()` takes three optional parameters:

* `title`: the bookmark's title
* `description`: the bookmark's description
* `tag_names`: the tags to assign to the bookmark (represented as a list of strings)

### Updating an Existing Bookmark by ID

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Update an existing bookmark:
    updated_bookmark = await client.bookmarks.async_update(
        37,
        url="https://different-example.com",
        title="Different example title",
        description="Different example description",
        tag_names=[
            "tag1",
            "tag2",
        ],
    )
    # >>> { "id": 37, "url": "https://different-example.com", ... }


asyncio.run(main())
```

`client.bookmarks.async_update()` takes four optional parameters (inclusion of any parameter
will change that value for the existing bookmark):

* `url`: the bookmark's URL
* `title`: the bookmark's title
* `description`: the bookmark's description
* `tag_names`: the tags to assign to the bookmark (represented as a list of strings)

### Archiving/Unarchiving a Bookmark

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Archive a bookmark by ID:
    await client.bookmarks.async_archive(37)

    # ...and unarchive it:
    await client.bookmarks.async_unarchive(37)


asyncio.run(main())
```

### Deleting a Bookmark

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Delete a bookmark by ID:
    await client.bookmarks.async_delete(37)


asyncio.run(main())
```

## Working with Tags

The `Client` object also provides easy access to several tag-related API operations.

### Getting All Tags

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Get all tags:
    tags = await client.tags.async_get_all()
    # >>> { "count": 100, "next": null, "previous": null, "results": [...] }


asyncio.run(main())
```

`client.tags.async_get_all()` takes two optional parameters:

* `limit`: the maximum number of results that should be returned
* `offset`: the index from which to return results (e.g., `5` starts at the fifth bookmark)

### Getting a Single Tag by ID

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Get a single tag:
    tag = await client.tags.async_get_single(22)
    # >>> { "id": 22, "name": "example-tag", ... }


asyncio.run(main())
```

### Creating a New Tag

```python
import asyncio

from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    client = Client("http://127.0.0.1:8000", "token_abcde12345")

    # Create a new tag:
    created_tag = await client.tags.async_create("example-tag")
    # >>> { "id": 22, "name": "example-tag", ... }


asyncio.run(main())
```

## Connection Pooling

By default, the library creates a new connection to linkding with each coroutine. If you
are calling a large number of coroutines (or merely want to squeeze out every second of
runtime savings possible), an
[`aiohttp`](https://github.com/aio-libs/aiohttp) `ClientSession` can be used for connection
pooling:

```python
import asyncio

from aiohttp import ClientSession
from aiolinkding import Client


async def main() -> None:
    """Use aiolinkding for fun and profit."""
    async with ClientSession() as session:
        client = Client("http://127.0.0.1:8000", "token_abcde12345", session=session)

        # Get to work...


asyncio.run(main())
```

# Contributing

1. [Check for open features/bugs](https://github.com/bachya/aiolinkding/issues)
  or [initiate a discussion on one](https://github.com/bachya/aiolinkding/issues/new).
2. [Fork the repository](https://github.com/bachya/aiolinkding/fork).
3. (_optional, but highly recommended_) Create a virtual environment: `python3 -m venv .venv`
4. (_optional, but highly recommended_) Enter the virtual environment: `source ./.venv/bin/activate`
5. Install the dev environment: `script/setup`
6. Code your new feature or bug fix.
7. Write tests that cover your new functionality.
8. Run tests and ensure 100% code coverage: `nox -rs coverage`
9. Update `README.md` with any new documentation.
10. Add yourself to `AUTHORS.md`.
11. Submit a pull request!

