Developing Alfred5 workflow using alfred5 python package
programming, alfred5, alfred workflow, python, macOS

🔰 How to Create Workflow





Preparing to Code Workflow using alfred5 package and python
Init your project directory

Create
src
folderPut your codes and
requirements.txt
tosrc
folders
⚠️ If u installed all of requirements, dont need to create
requirements.txt
file insrc

Understanding alfred5
use-cases
alfred5
use-casesVia
SnippetsClient
API create custom snippets programmaicallyVia
WorkflowClient
API create custom alfred workflowCraete
requirements.txt
file for your python project to letalfred5
installs them if needed 🙃To install
from requirements.txt
do all import packages insidemain
Use
global
keyword to access imported packages globallyclient.query
is the query stringclient.page_count
is the page count for pagination results
Dont need to add
alfred5
torequirements.txt
Use
WorkflowClient.log
to log your message to alfred debuggerUse
WorkflowClient(main, cache=True)
method to use caching systemJust do it for static (not timebased nor any dynamic stuff) response
Db path is
db/results.yml
also you can see it from workflow debug panel

⭐️ Example Project

from re import sub
from urllib.parse import quote_plus
import sys
sys.path.insert(0, "src/libs")
from alfred5 import WorkflowClient
async def main(client: WorkflowClient):
# To auto install requirements all import operation must be in here
global get
from requests import get
query = client.query
client.log(f"my query: {query}") # use it to see your log in workflow debug panel
# (use cache=True) Use cache system to quick response instead of old style that below
# 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)
# (use cache=True) to cache result for query instead of old style that below
# if u work with static results (not dynamic; coin price etc.)
# client.cache_response()
if __name__ == "__main__":
WorkflowClient.run(main) # WorkflowClient.run(main, cache=True)

🪪 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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