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توضیحات

Full-featured helper library for writing Alfred 2/3/4 workflows, with Python 3

ویژگی	مقدار
سیستم عامل	-
نام فایل	alfred-workflow-tddschn-0.1.5
نام	alfred-workflow-tddschn
نسخه کتابخانه	0.1.5
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Xinyuan Chen
ایمیل نویسنده	45612704+tddschn@users.noreply.github.com
آدرس صفحه اصلی	https://github.com/tddschn/alfred-workflow-py3
آدرس اینترنتی	https://pypi.org/project/alfred-workflow-tddschn/
مجوز	MIT

<div align="center"> <img src="./icon.png" alt="alfred-workflow-tddschn logo" height="200"> </div> Note: this is a fork of the amazing [https://github.com/deanishe/alfred-workflow][repo] and has some differences. alfred-workflow-tddschn =============== A helper library in Python for authors of workflows for [Alfred 3 and 4][alfred].  [![Build Status][shield-github]][action-github] [![Coverage Status][shield-coveralls]][coveralls] [![Development Status][shield-status]][pypi] [![Latest Version][shield-version]][pypi] [![Supported Python Versions][shield-pyversions]][pypi]  Supports Alfred 3 and Alfred 4 on macOS 10.7+ (Python 3.7+). alfred-workflow-tddschn takes the grunt work out of writing a workflow by giving you the tools to create a fast and featureful Alfred workflow from an API, application or library in minutes. Always supports all current Alfred features. Features -------- - Auto-saved settings API for your workflow - Super-simple data caching with expiry - Fuzzy filtering (with smart diacritic folding) - Keychain support for secure storage of passwords, API keys etc. - Background tasks to keep your workflow responsive - Simple generation of Alfred JSON feedback - Full support of Alfred's AppleScript/JXA API - Catches and logs workflow errors for easier development and support - "Magic" arguments to help development/debugging - Unicode support - Pre-configured logging - Automatically check for workflow updates via GitHub releases - Post notifications via Notification Center ### Alfred 4+ features ### - Advanced modifiers - Alfred 4-only updates (won't break older Alfred installs) Contents -------- - [alfred-workflow-tddschn](#alfred-workflow-tddschn) - [Features](#features) - [Alfred 4+ features](#alfred-4-features) - [Contents](#contents) - [Installation](#installation) - [With pip](#with-pip) - [From source](#from-source) - [Usage](#usage) - [Workflow script skeleton](#workflow-script-skeleton) - [Examples](#examples) - [Keychain access](#keychain-access) - [Documentation](#documentation) - [Dash docset](#dash-docset) - [Licensing, thanks](#licensing-thanks) - [Contributing](#contributing) - [Adding a workflow to the list](#adding-a-workflow-to-the-list) - [Bug reports, pull requests](#bug-reports-pull-requests) - [Contributors](#contributors) - [Workflows using alfred-workflow-tddschn](#workflows-using-alfred-workflow-tddschn) <a name="installation"></a> Installation ------------ **Note**: If you're new to Alfred workflows, check out [the tutorial][docs-tutorial] in the docs. <a name="with-pip"></a> ### With pip ### You can install alfred-workflow-tddschn directly into your workflow with: ```bash # from your workflow directory pip install --target=. alfred-workflow-tddschn ``` You can install any other library available on the [Cheese Shop][cheeseshop] the same way. See the [pip documentation][pip-docs] for more information. It is highly advisable to bundle all your workflow's dependencies with your workflow in this way. That way, it will "just work". <a name="from-source"></a> ### From source ### 1. Download the `alfred-workflow-X.X.X.zip` from the [GitHub releases page][releases]. 2. Extract the ZIP archive and place the `workflow` directory in the root folder of your workflow (where `info.plist` is). Your workflow should look something like this: Your Workflow/ info.plist icon.png workflow/ __init__.py background.py notify.py Notify.tgz update.py version workflow.py yourscript.py etc. Alternatively, you can clone/download the alfred-workflow-tddschn [repository][repo] and copy the `workflow` subdirectory to your workflow's root directory. <a name="usage"></a> Usage ----- A few examples of how to use alfred-workflow-tddschn. <a name="workflow-script-skeleton"></a> ### Workflow script skeleton ### Set up your workflow scripts as follows (if you wish to use the built-in error handling or `sys.path` modification): ```python #!/usr/bin/python # encoding: utf-8 import sys # Workflow3 supports Alfred 3's new features. The `Workflow` class # is also compatible with Alfred 2. from workflow import Workflow3 def main(wf): # The Workflow3 instance will be passed to the function # you call from `Workflow3.run`. # Not super useful, as the `wf` object created in # the `if __name__ ...` clause below is global... # # Your imports go here if you want to catch import errors, which # is not a bad idea, or if the modules/packages are in a directory # added via `Workflow3(libraries=...)` import somemodule import anothermodule # Get args from Workflow3, already in normalized Unicode. # This is also necessary for "magic" arguments to work. args = wf.args # Do stuff here ... # Add an item to Alfred feedback wf.add_item(u'Item title', u'Item subtitle') # Send output to Alfred. You can only call this once. # Well, you *can* call it multiple times, but subsequent calls # are ignored (otherwise the JSON sent to Alfred would be invalid). wf.send_feedback() if __name__ == '__main__': # Create a global `Workflow3` object wf = Workflow3() # Call your entry function via `Workflow3.run()` to enable its # helper functions, like exception catching, ARGV normalization, # magic arguments etc. sys.exit(wf.run(main)) ``` <a name="examples"></a> ### Examples ### Cache data for 30 seconds: ```python def get_web_data(): import json from urllib import request with request.urlopen('http://www.example.com') as f: data = f.read().decode('utf-8') return json.loads(data) def main(wf): # Save data from `get_web_data` for 30 seconds under # the key ``example`` data = wf.cached_data('example', get_web_data, max_age=30) for datum in data: wf.add_item(datum['title'], datum['author']) wf.send_feedback() ``` <a name="keychain-access"></a> #### Keychain access #### Save password: ```python wf = Workflow() wf.save_password('name of account', 'password1lolz') ``` Retrieve password: ```python wf = Workflow() wf.get_password('name of account') ``` <a name="documentation"></a> Documentation ------------- The full documentation, including API docs and a tutorial, can be found at [deanishe.net][docs]. <a name="dash-docset"></a> ### Dash docset ### The documentation is also available as a [Dash docset][dash]. <a name="licensing-thanks"></a> Licensing, thanks ----------------- The code and the documentation are released under the MIT and [Creative Commons Attribution-NonCommercial][cc] Licenses respectively. See [License.txt](License.txt) for details. The documentation was generated using [Sphinx][sphinx] and a modified version of the [Alabaster][alabaster] theme by [bitprophet][bitprophet]. Many of the cooler ideas in alfred-workflow-tddschn were inspired by [Alfred2-Ruby-Template][ruby-template] by Zhaocai. The Keychain parser was based on [Python-Keyring][python-keyring] by Jason R. Coombs. <a name="contributing"></a> Contributing ------------ <a name="adding-a-workflow-to-the-list"></a> ### Adding a workflow to the list ### If you want to add a workflow to the [list of workflows using alfred-workflow-tddschn][docs-workflows], **don't add it to the docs!** The list is machine-generated from [Packal.org][packal] and the [`library_workflows.tsv`](extras/library_workflows.tsv) file. If your workflow is available on [Packal][packal], it will be added on the next update. If not, please add it to [`library_workflows.tsv`](extras/library_workflows.tsv), and submit a corresponding pull request. The list is not auto-updated, so if you've released a workflow and are keen to see it in this list, please [open an issue][issues] asking me to update the list. <a name="bug-reports-pull-requests"></a> ### Bug reports, pull requests ### Please see [the documentation][docs-contributing]. <a name="contributors"></a> ### Contributors ### - [Dean Jackson][deanishe] - [Stephen Margheim][smargh] - [Fabio Niephaus][fniephaus] - [Owen Min][owenwater] <a name="workflows-using-alfred-workflow"></a> Workflows using alfred-workflow-tddschn ------------------------------- [Here is a list][docs-workflows] of some of the many workflows based on alfred-workflow-tddschn. [alfred]: http://www.alfredapp.com/ [alfred-workflow-scaffold]: https://github.com/NorthIsUp/alfred-workflow-scaffold [awv2]: https://github.com/tddschn/alfred-workflow-tddschn/tree/v2 [alabaster]: https://github.com/bitprophet/alabaster [bitprophet]: https://github.com/bitprophet [cc]: https://creativecommons.org/licenses/by-nc/4.0/legalcode [coveralls]: https://coveralls.io/r/tddschn/alfred-workflow-tddschn?branch=master [deanishe]: https://github.com/deanishe [docs-contributing]: http://www.deanishe.net/alfred-workflow/contributing.html [docs-tutorial]: http://www.deanishe.net/alfred-workflow/tutorial.html [docs-api]: http://www.deanishe.net/alfred-workflow/api/ [docs]: http://www.deanishe.net/alfred-workflow/ [docs-workflows]: http://www.deanishe.net/alfred-workflow/aw-workflows.html [dash]: https://github.com/tddschn/alfred-workflow-tddschn/raw/master/docs/alfred-workflow-tddschn.docset.zip [fniephaus]: https://github.com/fniephaus [owenwater]: https://github.com/owenwater [issues]: https://github.com/tddschn/alfred-workflow-tddschn/issues [landscape]: https://landscape.io/github/tddschn/alfred-workflow-tddschn/master [packal]: http://www.packal.org/ [pep8]: http://legacy.python.org/dev/peps/pep-0008/ [pulls]: https://github.com/tddschn/alfred-workflow-tddschn/pulls [pypi]: https://pypi.python.org/pypi/alfred-workflow-tddschn/ [releases]: https://github.com/tddschn/alfred-workflow-tddschn/releases [repo]: https://github.com/tddschn/alfred-workflow-tddschn [urllib]: https://docs.python.org/3/library/urllib.html [rtd]: https://readthedocs.org/ [shield-coveralls]: https://coveralls.io/repos/github/tddschn/alfred-workflow-tddschn/badge.svg?branch=master [shield-docs]: https://readthedocs.org/projects/alfredworkflow/badge/?version=latest&style=flat [shield-download]: https://img.shields.io/pypi/dm/alfred-workflow-tddschn.svg?style=flat [shield-github]: https://github.com/tddschn/alfred-workflow-tddschn/workflows/CI/badge.svg [action-github]: https://github.com/tddschn/alfred-workflow-tddschn/actions?query=workflow%3ACI [shield-health]: https://landscape.io/github/tddschn/alfred-workflow-tddschn/master/landscape.png?style=flat [shield-License]: https://pypip.in/license/alfred-workflow-tddschn/badge.svg?style=flat [shield-status]: https://img.shields.io/pypi/status/alfred-workflow-tddschn.svg?style=flat [shield-travis]: https://travis-ci.org/tddschn/alfred-workflow-tddschn.svg?branch=master&style=flat [shield-version]: https://img.shields.io/pypi/v/alfred-workflow-tddschn.svg?style=flat [shield-pyversions]: https://img.shields.io/pypi/pyversions/alfred-workflow-tddschn.svg?style=flat [smargh]: https://github.com/smargh [sphinx]: http://sphinx-doc.org/ [travis]: https://travis-ci.org/tddschn/alfred-workflow-tddschn [cheeseshop]: https://pypi.python.org/pypi [pip-docs]: https://pip.pypa.io/en/latest/ [ruby-template]: http://zhaocai.github.io/alfred2-ruby-template/ [python-keyring]: https://pypi.python.org/pypi/keyring

نیازمندی

مقدار	نام
>=1.16.0,<2.0.0	six
>=2.27.1,<3.0.0	requests

زبان مورد نیاز

مقدار	نام
>=3.10,<4.0	Python

نحوه نصب

نصب پکیج whl alfred-workflow-tddschn-0.1.5:

pip install alfred-workflow-tddschn-0.1.5.whl

نصب پکیج tar.gz alfred-workflow-tddschn-0.1.5:

pip install alfred-workflow-tddschn-0.1.5.tar.gz