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Simple python wrapper for alfred workflow / snippets

Project description

🎩 AlfredClient

Simplest Alfred Client that I use my own projects.

pip install alfred5
  • Via SnippetsClient API create custom snippets programmaically
  • Via WorkflowClient API create custom alfred workflow
  • Use WorkflowClient.log to log your message to alfred debugger
  • Use client.load_cached_response and client.cache_response method to use caching system
    • Just do it for static response (not timebased response)
    • Db path is db/results.yml also you can see it from workflow debug panel

Example Db Format

example-db

⭐️ Example Project

alt

from re import sub
from urllib.parse import quote_plus

from alfred5 import WorkflowClient


async def main(client: WorkflowClient):
    query = client.query
    client.log(f"my query: {query}")  # use it to see your log in workflow debug panel

    # Use cache system to quick response
    if client.load_cached_response():
        return

    char_count = str(len( query))
    word_count = str(len(query.split(" ")))
    line_count = str(len(query.split("\n")))

    encoded_string = quote_plus(query)
    remove_dublication = " ".join(dict.fromkeys(query.split(" ")))

    upper_case = query.upper()
    lower_case = query.lower()
    capitalized = query.capitalize()
    template = sub(r"[a-zA-Z0-9]", "X", query)

    client.add_result(encoded_string, "Encoded", arg=encoded_string)
    client.add_result(remove_dublication, "Remove dublication", arg=remove_dublication)
    client.add_result(upper_case, "Upper Case", arg=upper_case)
    client.add_result(lower_case, "Lower Case", arg=lower_case)
    client.add_result(capitalized, "Capitalized", arg=capitalized)
    client.add_result(template, "Template", arg=template)
    client.add_result(char_count, "Characters", arg=char_count)
    client.add_result(word_count, "Words", arg=word_count)
    client.add_result(line_count, "Lines", arg=line_count)
    
    client.cache_response()  # to cache result for query (if u work with static results (not dynamic; coin price etc.))

if __name__ == "__main__":
    WorkflowClient.run(main)

🔰 How to Create Workflow

insturaction1 insturaction2 insturaction3 insturaction4

🪪 License

Copyright 2023 Yunus Emre Ak ~ YEmreAk.com

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

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