Full-featured helper library for writing Alfred 2 workflows
Project description
A Python helper library for writing `Alfred 2`_ workflows.
Alfred workflows typically take user input, fetch data from the Web or
elsewhere, filter them and display results to the user. Alfred-Workflow
takes care of a lot of the details for you, allowing you to concentrate your
efforts on your workflow's functionality.
Features
========
* Catches and logs workflow errors for easier development and support
* "Magic" arguments to help development/debugging
* Auto-saves settings
* Super-simple data caching
* Fuzzy, Alfred-like search/filtering with diacritic folding
* Keychain support for secure storage (and syncing) of passwords, API keys etc.
* Simple generation of Alfred feedback (XML output)
* Input/output decoding for handling non-ASCII text
* Lightweight web API with modelled on `requests`_
* Pre-configured logging
* Painlessly add directories to ``sys.path``
* Easily launch background tasks (daemons) to keep your workflow responsive
* Check for new versions and update workflows hosted on GitHub.
Quick Example
=============
Here's how to show recent `Pinboard.in <https://pinboard.in/>`_ posts in Alfred.
Create a new workflow in Alfred's preferences. Add a **Script Filter** with
Language ``/usr/bin/python`` and paste the following into the **Script** field
(changing ``API_KEY``):
.. code-block:: python
:emphasize-lines: 4
import sys
from workflow import Workflow, ICON_WEB, web
API_KEY = 'your-pinboard-api-key'
def main(wf):
url = 'https://api.pinboard.in/v1/posts/recent'
params = dict(auth_token=API_KEY, count=20, format='json')
r = web.get(url, params)
r.raise_for_status()
for post in r.json()['posts']:
wf.add_item(post['description'], post['href'], arg=post['href'],
uid=post['hash'], valid=True, icon=ICON_WEB)
wf.send_feedback()
if __name__ == u"__main__":
wf = Workflow()
sys.exit(wf.run(main))
Add an **Open URL** action to your workflow with ``{query}`` as the **URL**,
connect your **Script Filter** to it, and you can now hit **ENTER** on a
Pinboard item in Alfred to open it in your browser.
Installation
============
With pip
--------
You can install Alfred-Workflow directly into your workflow with::
pip install --target=/path/to/my/workflow Alfred-Workflow
**Note**: If you intend to distribute your workflow to other users, you should
include Alfred-Workflow (and other Python libraries your workflow requires)
within your workflow as described. Do not ask users to install anything into
their system Python.
From source
-----------
Download the ``alfred-workflow-X.X.zip`` file from the `GitHub releases`_ page
and either extract the ZIP to the root directory of your workflow (where
``info.plist`` is) or place the ZIP in the root directory and add
``sys.path.insert(0, 'alfred-workflow-X.X.zip')`` to the top of your
Python scripts.
Alternatively, you can download `the source code`_ from the `GitHub repository`_
and copy the ``workflow`` subfolder to the root directory of your workflow.
Your workflow directory should look something like this (where
``yourscript.py`` contains your workflow code and ``info.plist`` is
the workflow information file generated by Alfred)::
Your Workflow/
info.plist
icon.png
workflow/
__init__.py
background.py
update.py
version
web.py
workflow.py
yourscript.py
etc.
Or like this::
Your Workflow/
info.plist
icon.png
workflow-1.X.X.zip
yourscript.py
etc.
Documentation
=============
Detailed documentation, including a tutorial and API docs, is
available at `Read the Docs <http://alfredworkflow.readthedocs.org/en/latest/>`_.
.. _requests: http://docs.python-requests.org/en/latest/
.. _Alfred 2: http://www.alfredapp.com/
.. _GitHub releases: https://github.com/deanishe/alfred-workflow/releases
.. _the source code: https://github.com/deanishe/alfred-workflow/archive/master.zip
.. _GitHub repository: https://github.com/deanishe/alfred-workflow
Alfred workflows typically take user input, fetch data from the Web or
elsewhere, filter them and display results to the user. Alfred-Workflow
takes care of a lot of the details for you, allowing you to concentrate your
efforts on your workflow's functionality.
Features
========
* Catches and logs workflow errors for easier development and support
* "Magic" arguments to help development/debugging
* Auto-saves settings
* Super-simple data caching
* Fuzzy, Alfred-like search/filtering with diacritic folding
* Keychain support for secure storage (and syncing) of passwords, API keys etc.
* Simple generation of Alfred feedback (XML output)
* Input/output decoding for handling non-ASCII text
* Lightweight web API with modelled on `requests`_
* Pre-configured logging
* Painlessly add directories to ``sys.path``
* Easily launch background tasks (daemons) to keep your workflow responsive
* Check for new versions and update workflows hosted on GitHub.
Quick Example
=============
Here's how to show recent `Pinboard.in <https://pinboard.in/>`_ posts in Alfred.
Create a new workflow in Alfred's preferences. Add a **Script Filter** with
Language ``/usr/bin/python`` and paste the following into the **Script** field
(changing ``API_KEY``):
.. code-block:: python
:emphasize-lines: 4
import sys
from workflow import Workflow, ICON_WEB, web
API_KEY = 'your-pinboard-api-key'
def main(wf):
url = 'https://api.pinboard.in/v1/posts/recent'
params = dict(auth_token=API_KEY, count=20, format='json')
r = web.get(url, params)
r.raise_for_status()
for post in r.json()['posts']:
wf.add_item(post['description'], post['href'], arg=post['href'],
uid=post['hash'], valid=True, icon=ICON_WEB)
wf.send_feedback()
if __name__ == u"__main__":
wf = Workflow()
sys.exit(wf.run(main))
Add an **Open URL** action to your workflow with ``{query}`` as the **URL**,
connect your **Script Filter** to it, and you can now hit **ENTER** on a
Pinboard item in Alfred to open it in your browser.
Installation
============
With pip
--------
You can install Alfred-Workflow directly into your workflow with::
pip install --target=/path/to/my/workflow Alfred-Workflow
**Note**: If you intend to distribute your workflow to other users, you should
include Alfred-Workflow (and other Python libraries your workflow requires)
within your workflow as described. Do not ask users to install anything into
their system Python.
From source
-----------
Download the ``alfred-workflow-X.X.zip`` file from the `GitHub releases`_ page
and either extract the ZIP to the root directory of your workflow (where
``info.plist`` is) or place the ZIP in the root directory and add
``sys.path.insert(0, 'alfred-workflow-X.X.zip')`` to the top of your
Python scripts.
Alternatively, you can download `the source code`_ from the `GitHub repository`_
and copy the ``workflow`` subfolder to the root directory of your workflow.
Your workflow directory should look something like this (where
``yourscript.py`` contains your workflow code and ``info.plist`` is
the workflow information file generated by Alfred)::
Your Workflow/
info.plist
icon.png
workflow/
__init__.py
background.py
update.py
version
web.py
workflow.py
yourscript.py
etc.
Or like this::
Your Workflow/
info.plist
icon.png
workflow-1.X.X.zip
yourscript.py
etc.
Documentation
=============
Detailed documentation, including a tutorial and API docs, is
available at `Read the Docs <http://alfredworkflow.readthedocs.org/en/latest/>`_.
.. _requests: http://docs.python-requests.org/en/latest/
.. _Alfred 2: http://www.alfredapp.com/
.. _GitHub releases: https://github.com/deanishe/alfred-workflow/releases
.. _the source code: https://github.com/deanishe/alfred-workflow/archive/master.zip
.. _GitHub repository: https://github.com/deanishe/alfred-workflow
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