![]() ![]() To me: it just remains clicking beautifully and reliably. That said, they’re very opinionated on their design choices and that may be somewhat controversial to some. I’ve experienced absolutely no problems syncing since their cloud service was first introduced and the way they handle some features is nothing short of sublime (take their “Type travel” feature… it’s awesome). While I aggree that they may appear to be slow at development, I’m totally ok with this since they always implement features in a incredibly neatly and reliable way. They are really serious on their commitment to not talk about features currently in development). Upgrade for v3 had a discount (20%) on launch week.Ĭonsidering what I’ve paid for all those years… it’s even more a perk for me and I will gladly support their development should a v4 arrive next year (don’t wait for it, nor any hint from them on this matter. Upgrade from v1 to v2 was not paid (for any platform). Been using it ver since and bought my way through Mac, iPhone and iPad when those versions were released. I’ve been a Things customer since v1, back in 2009. ![]() This may indicate that Things 4 may release next year… Either way, I think its good value consideirng how often they release a brand new version. The full documentation, including API docs and a tutorial, can be found at /alfred-pyworkflow.Cc Things v2 was launched Augand Things v3 was launched May 18, 2017. get_password ( 'name of account' ) Documentation save_password ( 'name of account', 'password1lolz' ) post ( '', files = files ) Keychain access Grab data from a JSON web API: data = web. cached_data ( 'example', get_web_data, max_age = 30 ) for datum in data : wf. json () def main ( wf ): # Save data from `get_web_data` for 30 seconds under # the key ``example`` data = wf. run ( main )) ExamplesĬache data for 30 seconds: def get_web_data (): return web. send_feedback () if _name_ = '_main_' : # Create a global `Workflow` object wf = Workflow () # Call your entry function via `n()` to enable its # helper functions, like exception catching, ARGV normalization, # magic arguments etc. # Well, you *can* call it multiple times, but subsequent calls # are ignored (otherwise the JSON sent to Alfred would be invalid). add_item ( 'Item title', 'Item subtitle' ) # Send output to Alfred. # This is also necessary for "magic" arguments to work. # 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 `Workflow(libraries=.)` import somemodule import anothermodule # Get args from Workflow, already as normalized string. # Not super useful, as the `wf` object created in # the `if _name_. Workflow script skeleton #!/usr/bin/env python3 # encoding: utf-8 import sys from workflow import Workflow def main ( wf ): # The Workflow instance will be passed to the function # you call from `n`. UsageĪ few examples of how to use Alfred-PyWorkflow. Workflow subfolder to your workflow’s root directory. Workflow code and ist is the workflow information file generated by Alfred): Your Workflow/Īlternatively, you can clone/download the Alfred-PyWorkflow GitHub repository and copy the Your workflow directory should look something like this (where yourscript.py contains your From sourceĭownload the alfred-pyworkflow-X.X.X.zip file from the GitHub releases page.Įxtract the ZIP archive and place the workflow directory in the root folder of your workflow ![]() It is highly advisable to bundle all your workflow’s dependencies with your workflow in this way. You can install any other library available on the Cheese Shop the same way. You can install Alfred-PyWorkflow directly into your workflow with: # from your workflow directory Note: If you’re new to Alfred workflows, check out Post notifications via Notification Center “Magic” arguments to help development/debuggingĪutomatically check for workflow updates via GitHub releases Simple generation of Alfred JSON feedbackįull support of Alfred’s AppleScript/JXA APIĬatches and logs workflow errors for easier development and support Lightweight web API with requests-like interfaceīackground tasks to keep your workflow responsive Keychain support for secure storage of passwords, API keys etc. Supports Alfred 4 and Alfred 5 on macOS with Python 3.7+.Īlfred-PyWorkflow is a Python 3 port of the original Alfred-Workflow.Īlfred-PyWorkflow takes the grunt work out of writing a workflow by giving you the tools to createĪ fast and featureful Alfred workflow from an API, application or library in minutes.Īlways supports all current Alfred features.įuzzy, Alfred-like search/filtering with diacritic folding A helper library in Python for authors of workflows for Alfred 4 and 5. ![]()
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